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1 VISVESVARAYA TECHNOLOGICAL UNIVERSITY BELAGAVI BE/B.Tech Scheme of Teaching and Examinations Outcome Based Education (OBE) and Choice Based Credit System (CBCS) (Effective from the academic year 2018 – 19)

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Page 1: VISVESVARAYA TECHNOLOGICAL UNIVERSITY BELAGAVIoldvtu.vtu.ac.in/pdf/cbcs/38sem2019/iemsyll.pdf · 2019-08-13 · 5 Course Outcomes : After the completion of the course, a student will

1

VISVESVARAYA TECHNOLOGICAL UNIVERSITY

BELAGAVI

BE/B.Tech Scheme of Teaching and Examinations Outcome Based Education (OBE) and Choice Based Credit System (CBCS)

(Effective from the academic year 2018 – 19)

Page 2: VISVESVARAYA TECHNOLOGICAL UNIVERSITY BELAGAVIoldvtu.vtu.ac.in/pdf/cbcs/38sem2019/iemsyll.pdf · 2019-08-13 · 5 Course Outcomes : After the completion of the course, a student will

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B. E. Common to all Programmes

Choice Based Credit System (CBCS) and Outcome Based Education (OBE)

SEMESTER - III

TRANSFORM CALCULUS, FOURIER SERIES AND NUMERICAL TECHNIQUES

Course Code 18MAT31 CIE Marks 40

Teaching Hours/Week (L: T:P) (2:2:0) SEE Marks 60

Credits 3 Exam Hours 03

Course Learning Objectives:

• To have an insight into Fourier series, Fourier transforms, Laplace transforms, Difference equations

and Z-transforms.

• To develop the proficiency in variational calculus and solving ODE’s arising in engineering

applications, using numerical methods.

Module-1

Laplace Transform: Definition and Laplace transforms of elementary functions (statements only). Laplace

transforms of Periodic functions (statement only) and unit-step function – problems.

Inverse Laplace Transform: Definition and problems, Convolution theorem to find the inverse Laplace

transforms (without Proof) and problems. Solution of linear differential equations using Laplace transforms.

Module-2

Fourier Series: Periodic functions, Dirichlet’s condition. Fourier series of periodic functions period π2 and

arbitrary period. Half range Fourier series. Practical harmonic analysis.

Module-3

Fourier Transforms: Infinite Fourier transforms, Fourier sine and cosine transforms. Inverse Fourier

transforms. Problems.

Difference Equations and Z-Transforms: Difference equations, basic definition, z-transform-definition,

Standard z-transforms, Damping and shifting rules, initial value and final value theorems (without proof) and

problems, Inverse z-transform and applications to solve difference equations.

Module-4

Numerical Solutions of Ordinary Differential Equations(ODE’s):

Numerical solution of ODE’s of first order and first degree- Taylor’s series method, Modified Euler’s method.

Runge -Kutta method of fourth order, Milne’s and Adam-Bash forth predictor and corrector method (No

derivations of formulae)-Problems.

Module-5

Numerical Solution of Second Order ODE’s: Runge-Kutta method and Milne’s predictor and corrector

method. (No derivations of formulae).

Calculus of Variations: Variation of function and functional, variational problems, Euler’s equation,

Geodesics, hanging chain, problems.

Course Outcomes: At the end of the course the student will be able to:

• CO1: Use Laplace transform and inverse Laplace transform in solving differential/ integral equation

arising in network analysis, control systems and other fields of engineering.

• CO2: Demonstrate Fourier series to study the behaviour of periodic functions and their applications in

system communications, digital signal processing and field theory.

• CO3: Make use of Fourier transform and Z-transform to illustrate discrete/continuous function arising

in wave and heat propagation, signals and systems.

• CO4: Solve first and second order ordinary differential equations arising in engineering problems

using single step and multistep numerical methods.

• CO5:Determine the externals of functionals using calculus of variations and solve problems

arising in dynamics of rigid bodies and vibrational analysis.

Question paper pattern:

• The question paper will have ten full questions carrying equal marks.

• Each full question will be for 20 marks.

• There will be two full questions (with a maximum of four sub- questions) from each module.

• Each full question will have sub- question covering all the topics under a module.

• The students will have to answer five full questions, selecting one full question from each module.

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Sl

No Title of the Book

Name of the

Author/s Name of the Publisher

Edition and

Year

Textbooks

1 Advanced Engineering

Mathematics

E. Kreyszig John Wiley & Sons 10th Edition,

2016

2 Higher Engineering Mathematics B. S. Grewal Khanna Publishers 44th Edition,

2017

3 Engineering Mathematics Srimanta Pal et al Oxford University

Press

3rd Edition, 2016

Reference Books

1 Advanced Engineering

Mathematics

C. Ray Wylie,

Louis C. Barrett

McGraw-Hill Book Co 6th Edition, 1995

2 Introductory Methods of

Numerical Analysis

S.S.Sastry Prentice Hall of India 4th Edition 2010

3 Higher Engineering Mathematics B.V. Ramana McGraw-Hill 11th Edition,2010

4 A Textbook of Engineering

Mathematics

N. P. Bali and

Manish Goyal

Laxmi Publications 6th Edition, 2014

5 Advanced Engineering

Mathematics

Chandrika Prasad

and Reena Garg

Khanna Publishing, 2018

Web links and Video Lectures: 1. http://nptel.ac.in/courses.php?disciplineID=111

2. http://www.class-central.com/subject/math(MOOCs)

3. http://academicearth.org/

4. VTU EDUSAT PROGRAMME - 20

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B. E. Industrial Engineering & Management

Choice Based Credit System (CBCS) and Outcome Based Education (OBE)

SEMESTER - III

Mechanics of Materials

Course Code 18IM32 CIE Marks 40

Number of Lecture Hours/Week (L:T:P)

(L:T:P)

3:2:0 SEE Marks 60

Credits 04 Exam Hours 03

Course Learning Objectives: To provide the students with

• Classify the stresses and define elastic properties of materials and compute stress and strain intensities

caused by applied loads in simple and compound sections and temperature changes.

• Derive the equations for principal stress and maximum in-plane shear stress and calculate their

magnitude and direction. Draw Mohr circle for plane stress system and interpret this circle.

• Determine the shear force, bending moment and draw shear force and bending moment diagrams,

describe behavior of beams under lateral loads.

• Explain the structural behavior of members subjected to torque, Calculate stress induced in shafts

subjected to bending and torsion.

• Understand the concept of stability and derive crippling loads for columns.

• Understand the concept of deflection and slop in beams

Module-1

Simple Stress and Strain: Introduction, Stress, strain and types. Tensile test on a mild steel and cast iron

specimens: Stress-Strain relation, Hooke's Law and Poisson's ratio for cast iron and non-ferrous (Al) materials.

Extension / Shortening of bars of: Uniform, varying in steps and continuously varying cross sections (circular

and rectangular), Principle of superposition, Elongation due to self-weight. Volumetric strain, expressions for

volumetric strain for bars with uniform circular and rectangular cross sections, Simple shear stress and shear

strain, formula for elastic constants (No derivation for relationship between elastic constants), Temperature

stresses (excluding compound bars). Simple numerical problems on tensile test and determining stress, strain

and change in dimensions.

Module-2

Principal stresses: Stresses in a tensile member, Stresses due to pure or simple shearing, mutually

perpendicular direct stresses, Principal planes and stresses, Two-dimensional stress system, Graphical method

(Mohr's circle) for plane stresses.

Thick and Thin Cylinder: Stresses in thin cylinders, change in dimensions of cylinder (diameter, length and

volume). Thick cylinders - Lame’s equations for radial and hoop stresses (compound cylinders and spherical

shells not included).

Torsion of Circular Shafts: Introduction, Torsion equation – assumptions and derivation, Torsional rigidity /

Stiffness of shafts. Power transmitted by solid and hollow circular shafts, Simple numerical problems.

Columns: Introduction, End conditions, Assumptions in deriving Euler’s equations, Sign conventions for

bending moments, Euler’s formulas (no derivation) for axially loaded elastic long columns, Limitations of

Euler’s theory, Rankine's formula

Module-3

Bending Moment and Shear Force in Beams:

Introduction - types of beams, loads and reactions, Shear force and bending moment, Sign conventions,

Relationship between load intensity, shear force and bending moment; Shear force and Bending moment

diagrams for different beams subjected to concentrated loads, uniformly distributed load, (UDL) uniformly

varying load (UVL) and couple for different types of beams.

Module-4

Bending Stresses in Beams: Moment of inertia and section modulus for different sections (I, T, rectangular,

and circular – only formulas) Introduction to theory of simple bending, assumptions in simple bending theory,

Bending stress equation - relationship between bending stress and radius of curvature, relationship between

bending moment and radius of curvature; Moment carrying capacity of a section. Simple problems on

rectangular, symmetrical I (about NA) and T sections. (composite / notched beams not included).

Module-5

Deflection of Beams: Introduction, Differential equation for deflection (flexure), Sign conventions and

assumptions, method of solution: by Double integration, deducing the constants of integration with boundry

conditions. Table of deflections and slopes for typical cases

Page 5: VISVESVARAYA TECHNOLOGICAL UNIVERSITY BELAGAVIoldvtu.vtu.ac.in/pdf/cbcs/38sem2019/iemsyll.pdf · 2019-08-13 · 5 Course Outcomes : After the completion of the course, a student will

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Course Outcomes: After the completion of the course, a student will

• Understand simple, compound, thermal stresses and strains their relations, Poisson’s ratio, Hooke’s

law, mechanical properties including elastic constants and their relations.

• Determine stresses, strains and deformations in bars with varying circular and rectangular cross-

sections subjected to normal loads

• Determine plane stress, principal stress, maximum shear stress and their orientations using Mohr’s

circle

• Determine the dimensions of structural members including beams, bars and rods using Energy methods

and also stress distribution in thick and thin cylinders

• Draw SFD and BMD for different beams including cantilever beams, simply supported beams and

overhanging beams subjected to UDL, UVL, Point loads and couples

• Determine dimensions, bending stress, shear stress and its distribution in beams of circular,

rectangular, symmetrical I and T sections subjected to point loads and UDL

• Determine the dimensions of shafts based on torsional strength, rigidity and flexibility and also elastic

stability of columns using Rankin’s and Euler’s theory

• Understand the concept of design concet Pt of thin and thick cylinders

• Determination of deflection and slope for different boundary conditions by double integration method

Text Books:

1. James M Gere, Barry J Goodno, Strength of Materials, Indian Edition, Cengage Learning, 2009.

2. R Subramanian, Strength of Materials, Oxford, 2005.

Reference Books:

1. S S Rattan, Strength of Materials, Second Edition, McGraw Hill, 2011.

2. Strength of Materials by Bhavi Katti

2. Ferdinand Beer and Russell Johston, Mechanics of materials, Tata McGraw Hill, 2003.

Page 6: VISVESVARAYA TECHNOLOGICAL UNIVERSITY BELAGAVIoldvtu.vtu.ac.in/pdf/cbcs/38sem2019/iemsyll.pdf · 2019-08-13 · 5 Course Outcomes : After the completion of the course, a student will

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B. E. Industrial Engineering & Management

Choice Based Credit System (CBCS) and Outcome Based Education (OBE)

SEMESTER - III

Fluid Mechanics

Course Code 18IM33 CIE Marks 40

Number of Lecture Hours/Week (L:T:P) 3:0:0 SEE Marks 60

Credits 03 Exam Hours 03

Course Learning Objectives: To provide the students with

• 1. The fundamentals of fluid mechanics, fluids and its properties.

• 2. An understanding of fluid statistics and hence the usage of Manometers, forces on submerged bodies.

• 3. Study of Buoyancy, metacenter, continuity equation and different functions

• 4. Application of Bernoulli’s equation to measure energy levels

• 5. Using different fluid equipment’s to calculate fluid flow and using Dimensional analysis to solve flow

problems.

• 6. Understanding the phenomenon of losses during flow in pipes.

• 7. Study of Laminar flow and the viscous effects.

• 8. Evaluating the various parameters connected to flow around immersed bodies.

Module-1

Properties of Fluids: Introduction, Properties of fluids, viscosity, thermodynamic properties, surface tension,

capillarity, vapour pressure and cavitation

Fluid Statics :

Fluid pressure at a point, Pascal’s law, pressure variation in a static fluid, absolute, gauge, atmospheric and

vacuum pressures, simple manometers and differential manometers.

Module-2

Total pressure and center of pressure on submerged plane surfaces; horizontal, vertical and inclined plane

surfaces, curved surface submerged in liquid.

Buoyancy and Fluid Kinematics: Buoyancy, center of buoyancy, metacentre and metacentric height,

conditions of equilibrium of floating and submerged bodies, determination of Metacentric height theoretically.

Kinematics: Types of fluid flow, continuity equation in 2D and 3D (Cartesian Co-ordinates only), velocity and

acceleration

Module-3

Fluid Dynamics: Introduction equation of motion, Euler’s equation of motion, Bernoulli’s equation from first

principles and also from Euler’s equation, limitations of Bernoulli’s equation. Fluid Flow Measurements :

Venturimeter, orificemeter, pitot-tube, vertical orifice, VNotch and rectangular notches.

Module-4

Flow through pipes: Minor losses through pipes. Darey’s and Chezy’s equation for loss of head due to friction

in pipes

Module-5

Dimensional Analysis : Introduction, derived quantities, dimensions of physical quantities, dimensional

homogeneity, Rayleigh’s method, Buckingham π theorem, dimensionless numbers,

Course Outcomes: After the completion of the course, a student will

1. Examine the fundamental of fluid mechanics and fluids and apply the basic equations to find the

force on submerged surfaces.

2. Calculate using known formula to calculate the center of buoyancy and find the velocity and

acceleration.

3. Calculate various flow parameters using fluid flow meters and using dimension analysis to predict

flow phenomena.

4. Use Euler’s and Bernoulli’s equations and the conservation of mass to determine velocities &

pressures. Calculate frictional losses through pipes.

Text Books:

1. Fluid Mechanics and Fluid Power Engineering, Kumar.D.S, Kataria and Sons., 2004.

2. Fluid Mechancis by Dr. Bansal, R.K.Lakshmi Publications, 2004.

Reference Books:

1. Fluid Mechanics and hydraulics, Dr.Jagadishlal: Metropolitan Book Co-Ltd., 1997.

2. Fluid Mechanics (SI Units), Yunus A. Cingel John M.Oimbala. Tata MaGrawHill, 2006.

3. Fluid Mechanics by John F.Douglas, Janul and M.Gasiosek and john A.Swaffield, Pearson Education

Asia, 5th ed., 2006

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B. E. Industrial Engineering & Management

Choice Based Credit System (CBCS) and Outcome Based Education (OBE)

SEMESTER - III

BASIC THERMODYNAMICS

Course Code 18IM34 CIE Marks 40

Number of Lecture Hours/Week (L:T:P) 3:0:0 SEE Marks 60

Credits 03 Exam Hours 03

Course Learning Objectives:

• To prepare the students to understand the fundamental concepts, terminologies, scope and application

of thermodynamics. The thermodynamic path for quasi- equilibrium processes, the graphical

representation of processes. Calculation of heat and work for different processes.

• Understand the joule’s experiment, and equivalent heating effect produced by work. First law

application to steady flow and unsteady flow system. Second law of thermodynamics, and entropy.

• Understand the properties of pure substance, phase change terminology, methods of finding dryness

fraction, and to know the systematic procedure for reading property tables.

• To know the mathematical interrelations of non-measurable thermodynamic properties, with the aid

of these relations, the changes in these properties can be computed.

Module-1

Fundamental Concepts & Definition: Thermodynamics definition and scope. Microscopic and

Macroscopic approaches. Some practical applications of engineering thermodynamic systems. Characteristics

of system boundary and control surface, examples. Thermodynamic properties: definition and units. Intensive

and extensive properties. Thermodynamic equilibrium: definition. Mechanical equilibrium, diathermic wall,

thermal equilibrium, chemical equilibrium, Zeroth law of thermodynamics. Temperature: concepts, scales,

fixed points and measurements. (Liquid in glass capillary, Electrical Resistance Thermometer,

Thermocouples, Constant Volume Gas Thermometer, and constant Pressure gas thermometer only are

included). Numerical problems on temperature scale.

Heat and work: Heat, Characteristics of heat, Sign Convention and units for heat, Work transfer,

Thermodynamic definition of work, Characteristic of work, sign convention and unis for work.

Classification of work, Mechanical form of work, Moving boundary work or Displacement work, Prove work

is a path function, expression of Displacement work for Different Quasi- static processes by representing on a

p-V diagrams. Numerical problems. (work done in starching a wire, work associated with stretching of a

liquid film, electric work due to current flow, Magnetic work due change in magnetization of a substance

explanation and problems are not included).

Module-2

First Law of Thermodynamics: Joules experiments, equivalence of heat and work.Statement of the first law

of thermodynamics, extension of the First law to cyclic processes, energy, energy as a property, modes of

energy, pure substance: definition, two-property rule. Specific heat at constant volume, enthalpy, specific

heat at constant pressure and numerical problems.

APPLICATION OF FIRST LAW OF THERMODYNAMICS: Extension of the first law to control

volume: Steady state- steady flow energy equation, important applications, and numerical problems steady

flow systems. (Analysis of unsteady processes such as film and evacuation of vessels with and without

heat transfer, and numerical problems of unsteady processes is not included).

Module-3

Second Law of Thermodynamics: Limitations of First law, Thermal reservoir, Heat engine, Direct heat

engine, performance of Direct heat engine, Kelvin- Planck statement of second law, Reversed heat engine,

Performance of a reversed heat engine, clausius statement of second law. Equivalence of Kelvin- Planck and

Clausius statements. Reversible and Irreversible cyclic processes.(Important consequences of the second

law of thermodynamics, Absolute scale of temperature, Reversibility and Irreversibility as applied to

Non- Cyclic Processes are not included)

Entropy: Introduction, State and prove clausius theorem, Entopy- a property of the system, state and prove,

the clausius inequality, Principle of increase of entropy, carnot cycle, and numerical problems.

Module-4

Pure Substances: Introduction, Property diagrams for simple compressible substance, T-v, p-v and p-T

diagrams. Definition of Various important thermodynamic states of a pure substance, (i) Compressed liquid

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state or sub- cooled liquid state, (ii) Saturated liquid state, (iii) Wet vapour state, (iv) Dry vapour or saturated

vapour state, (v) Superheated vapour state, (vi) Saturated temperature or boiling point temperature, (vii)

Saturated pressure or boiling pressure and (viii) critical point. Dryness fraction of a wet vapour. Steam tables,

T-s and h-s Diagrams for a pure substance, p-h Diagrams for a pure substance. Determination of dryness

fraction of steam in a laboratory, Separating calorimeter method, Throttling calorimeter, Combined

separating -throttling calorimeter method, problems to find properties of pure substances.

Module-5

Ideal Gases and Mixture of Ideal Gases: Definition af an Ideal Gas, Mole of a Gas, Avegadro’s

Hypothesis, Specific heats of Ideal Gases, Changes in Internal energy, enthalpy for an ideal gas, expressions

for heat and work transfer for a perfect gas undergoing various quasi-static processes, problems on ideal

gases,

Mixture of Ideal gases Introduction, Definition of terms used in the analysis of mixture of gases, Dalton’s

law of partial pressure, Relation between Partial pressure, Partial Volume, and Mole Fraction, Gas constant

and Molecular weight for the mixture in terms of mass fraction, Gas constant and Molecular Weight of the

Mixture in Terms of Mole Fraction, Internal Energy, Enthalpy and Entropy of a Mixture of Gases. Problems

on Mixture of Ideal Gases.

Course Outcomes:

• Explain thermodynamic system, zeroth law of thermodynamics, temperature scales and energy

interaction. Determine heat and work. First and second law of thermodynamics to find energy,

efficiency of heat engine and COP of refrigerator and heat pump.

• Interpret behavior of pure substances, working of throttling calorimeters to find dryness fraction, to

fallow the systematic procedure to use thermodynamic hand book.

• To use appropriate mathematical interrelation to evaluate the thermodynamic properties.

• To use thermodynamics in engineering practices.

Text Books:

1. Basic Engineering Thermodynamics. A. Venkatesh, Universities Press. 2008.

2. Basic and Applied Thermodynamics. P.K. Nag, 2nd. Ed., Tata McGraw Hill Pub.2002.

3. Thermal Engineering, R.K. Rajput, Laxmi Publication.

4. Basic Thermodynamics. T. R. Seetharam, Second Edition, InterlinePublishing, 2007.

Reference Books:

1. Thermodynamics. An Engineering Approach, Yunus A. Cenegal, and Michael A Boles, Tata

McGraw Hill publications. 2002.

2. Engineering Thermodynamics. J. B. Jones and G.A. Hawkins. John Wiley and Sons.

3. Fundamentals of Classical Thermodynamics. G. J. Van Wylen and R. E. Sonnatag, Wiley Eastern.

4. An Introduction to Thermodynamics. Y.V.C. Rao, Wiley Eastern. 1993.

5. Basic Thermodynamics, B.K. Vekanna, Swati B. Wadavadagi, PHI, New Delhi. 2010

Page 9: VISVESVARAYA TECHNOLOGICAL UNIVERSITY BELAGAVIoldvtu.vtu.ac.in/pdf/cbcs/38sem2019/iemsyll.pdf · 2019-08-13 · 5 Course Outcomes : After the completion of the course, a student will

9

B. E. Industrial Engineering & Management

Choice Based Credit System (CBCS) and Outcome Based Education (OBE)

SEMESTER - III

Mechanical Measurements and Metrology

Course Code 18IM35 CIE Marks 40

Number of Lecture Hours/Week (L:T:P) 3:0:0 SEE Marks 60

Credits 03 Exam Hours 03

Course Learning Objectives: To provide the students with

• Understand metrology and its advancements. & measuring system

• Acquire knowledge on different standards of length, calibration of End Bars, linear and angular

measurements, Screw thread and gear measurement & comparators.

• Equip with knowledge of limits, fits, tolerances and gauging.

• Acquire knowledge of measurement methods with emphasis on different transducers, intermediate

modifying and terminating devices.

• Understand the measurement of Force, Torque, Pressure, Temperature and Strain.

Module-1

Standards of measurement: Definition and Objectives of metrology, Standards of length International

prototype meter, Imperial standard yard, Wave length standard, subdivision of standards, line and end

standard, calibration of end bars (Numerical), Slip gauges, Wringing phenomena, Indian Standards (M81, M-

12), Numerical problems on building of slip gauges.

Measurements and measurement system: Definition, significance of measurement, generalized

measurement system, definitions and concept of accuracy, precision, calibration, threshold, sensitivity,

hysteresis, repeatability, linearity, loading effect, system response-times delay. Errors in measurement,

classification of errors.

Module-2

System of Limits, Fits, Tolerance and Gauging: Definition of tolerance, specification in assembly,

principle of interchangeability and selective assembly limits of size, Indian standards, concept of limits of size

and tolerances, compound tolerances, accumulation of tolerances, definition of fits, types of fits and their

designation (IS919-1963), geometrical tolerance, positional-tolerances, hole basis system, shaft basis system.

Numerical problems on the design of shaft and hole pair

Classification of gauges, brief concept of design of gauges (Taylor's principles), wear allowance on gauges,

types of gauges-plain plug gauge, ring gauge, snap gauge, limit gauge and gauge materials. Numerical

problems.

Module-3

Comparators and Angular measurement: Introduction to comparators, characteristics, classification of

comparators, mechanical comparators-Johnson Mikrokator, sigma comparators, dial indicator, optical

comparators principles, Zeiss ultra-optimeter, electric and electronic comparators principles, LVDT,

pneumatic comparators, Solex comparators.

Angular measurements: bevel protractor, sine principle and use of sine bars, sine centre, use of angle gauges

(numericals on building of angles), and clinometers.

Interferometer and screw thread, gear measurement: Interferometer, interferemetry, autocollimator.

Optical flats. Terminology of screw threads, measurement of major diameter, minor diameter, pitch, angle

and effective diameter of screw threads by 2-wire and 3-wire methods, best size wire. Tool maker's

microscope, gear tooth terminology, use of gear tooth vernier caliper and micrometer.

Module-4

Sensors and Transducers:, primary and secondary transducers, transfer efficiency, electrical, mechanical,

electronic transducers, advantages of each type transducers.

Intermediate modifying and terminating devices: Mechanical systems, inherent problems, electrical

intermediate modifying devices, input circuitry, ballast circuit, electronic amplifiers and telemetry.

Terminating devices, mechanical, cathode ray oscilloscope, oscillographs, X-Y plotters.

Module-5

Measurement of force, torque and pressure: Principle, analytical balance, platform balance, proving ring.

Torque measurement, Prony brake, hydraulic dynamometer. Pressure measurements, principle, use of elastic

members, Bridgeman gauge, Mc loed gauge, Pirani gauge.

Temperature and strain measurement: Resistance thermometers, thermocouple, law of thermo couple,

materials used for construction, pyrometer, optical pyrometer. Strain measurements, strain gauge, preparation

and mounting of strain gauges, gauge factor, methods of strain measurement.

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Course Outcomes: After the completion of the course, a student will

• Understand the objectives of metrology, methods of measurement, selection of measuring

instruments, standards of measurement and calibration of end bars.

• Describe slip gauges, wringing of slip gauges and building of slip gauges, angle measurement using

sine bar, sine center, angle gauges, optical instruments and straightness measurement using

Autocollimator.

• Explain tolerance, limits of size, fits, geometric and position tolerances, gauges and their design.

• Understand the principle of Johnson Mikrokator, sigma comparator, dial indicator, LVDT, back

pressure gauges, Solex comparators, and Zeiss Ultra Optimeter

• Describe measurement of major diameter, minor diameter, pitch, angle and effective diameter of

screw threads by 2 – wire, 3 – wire methods, screw thread gauges and tool maker’s microscope.

• Explain measurement of tooth thickness using constant chord method, addendum comparator

methods and base tangent method,

• Explain the measurement of pitch, concentricity, run out and involute profile

• Understand laser interferometers and Coordinate measuring machines.

• Explain measurement systems, transducers, intermediate modifying devices and terminating devices.

• Describe functioning of force, torque, pressure, strain and temperature measuring devices.

Text Books:

1. Mechanical Measurements, Beckwith Marangoni and Lienhard, Pearson Education, 6th Ed., 2006.

2. Engineering Metrology, R.K. Jain, Khanna Publishers, Delhi, 2009.

Reference Books:

4. Engineering Metrology and Measurements, Bentley, Pearson Education.

5. Theory and Design for Mechanical Measurements, III edition, Richard S Figliola, Donald E Beasley,

WILEY India Publishers.

6. Engineering Metrology, Gupta I.C., DhanpatRai Publications.

7. Deoblin’s Measurement system, Ernest Deoblin, Dhaneshmanick, McGraw –Hill.

8. Engineering Metrology and Measurements, N.V.Raghavendra and L. Krishnamurthy, Oxford

University Press.

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11

B. E. Industrial Engineering & Management

Choice Based Credit System (CBCS) and Outcome Based Education (OBE)

SEMESTER - III

Manufacturing Process

Course Code 18IM36 CIE Marks 40

Number of Lecture Hours/Week (L:T:P) 3:0:0 SEE Marks 60

Credits 03 Exam Hours 03

Course Learning Objectives: 1. Understand the types of production processes, steps involved in casting, types of patterns, pattern

making, pattern allowance, cores, furnaces, advantages and limitations of casting.

2. Know the fundamentals of metal cutting like various cutting forces, tool materials, about tool life and

machinability.

3. Understand the importance of emerging technologies in manufacturing field.

Module-1

CASTING PROCESS Introduction: Concept of Manufacturing process, its Importance. Classification of Manufacturing

processes. Introduction to Casting process & steps involved. Varieties of components produced by casting

process. Advantages & Limitations of casting process.

Patterns: Definition, functions, Materials used for pattern, Classification of patterns.

Sand Moulding : Requirement of base sand, Method used for sand moulding

Binder & Additives: Definition, Types and characteristics.

Cores: Definition, Need, Types. Method of making cores, Binders used, core sand moulding.

Module-2

Concept of Gating & Risers: Principle and types. Fettling andcleaning of castings. Basic steps, Casting

defects, Causes, features andremedies.

Moulding Machines: Jolt type, Squeeze type, Jolt &Squeeze type and Sand slinger.

Special moulding Process: No bakemoulds, CO2 mould, Shellmould, Investment mould.

Metal Moulds: Pressure die casting, Slush casting.

Module-3

Introduction: Forging, Rolling, extrusion, Drawing, Sheet metal forming. (Operations)

Theory of Metal Cutting: Single point cutting tool nomenclature,Mechanics of Chip Formation, Types of

Chips, Merchants circle diagram and analysis.Tool Wear and Tool failure. Effects of cutting parameters

ontool life.Taylor’s Tool Life equation. Problemson tool life evaluation.

Module-4

METAL REMOVAL OPERATIONS: Turning: Classification, constructional features of Turret and Capstan Lathe. Different operations on lathe

and Mechanisms: Withworth’s quick return motion mechanism, Crank and slotted lever mechanism.

Milling:Classification, constructional features ofHorizontal & Vertical spindle, column and knee milling

machine. Mill cutter nomenclature, Different operations on Milling, Indexing (Numerical)

Introduction: Shaping, Planning, Grinding, Broaching. (Operations)

Module-5

NC & CNC: Elements of NC and CNC system, role of computers in manufacturing of a product,

Introduction to G-codes and M-codes.

Rapid Prototyping: Definition of RP, RP cycle, Stereolithography, selective laser sintering, 3D Printing.

Flexible manufacturing System: Definition, components of FMS, types of FMS, advantages and limitations of FMS.

Course Outcomes: students should be able to

CO1: Carry out step by step casting process to make components.

CO2: Analyze the process of moulding and casting to make metal casting.

CO3: Analyze the various cutting forces during metal cutting operations.

CO4: Distinguish among various metal removal operations and use appropriate in industry.

CO5: Investigate on tool failure.

CO6: Appraise the advanced manufacturing technology over conventional manufacturing process.

Text Books:

1. Manufacturing Engineering and Technology, Kalpakjian and Schmid, Prentice Hall, New

Jersey, 2013

2. “Manufacturing Process-I”, Dr. K.Radhakrishna, Sapna Book House, 5th Revised Edition

2009.

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Reference Books:

1. “Process and Materials of Manufacturing”, Roy A Lindberg, 4th Ed. Pearson Edu. 2006.

2. “Manufacturing Technology”, SeropeKalpakjian, Steuen. R. Sechmid,Pearson Education Asia,

5th Ed. 2006.

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B. E. Industrial Engineering & Management

Choice Based Credit System (CBCS) and Outcome Based Education (OBE)

SEMESTER - III

FOUNDRY & FORGING LAB

Course Code 18IML37/47 CIE Marks 40

Number of Lecture Hours/Week (L:T:P) 0:2:2 SEE Marks 60

Credits 02 Exam Hours 03

Course Learning Objectives:

• To apply knowledge of foundry and forging for the conduct of experiments in Foundry and Forging

laboratory using standard test procedures

To explain various foundry and forging tools and demonstrate their usage

Experiments:

PART – A

1. Testing of Moulding sand and Core sand Preparation of sand specimens and conduction of the following tests:

1 Compression, Shear and Tensile tests on Universal Sand Testing

Machine.

2 Permeability test

3 Core hardness & Mould hardness tests.

4 Sieve Analysis to find Grain Fineness number of Base Sand

5 Clay content determination in Base Sand

PART – B

2. Foundry Practice

Use of foundry tools and other equipments.

Preparation of moulds using two moulding boxes using patterns or without

patterns. (Split pattern, Match plate pattern and Core boxes).

Preparation of one casting (Aluminum or cast iron-Demonstration only)

PART – C

3. Forging Operations : Calculation of length of the raw material required to do the model.

Course Outcomes: At the end of the course the student will be able to:

• To apply knowledge of foundry and forging for the conduct of experiments in Foundry and Forging

laboratory using standard test procedures.

• To explain various foundry and forging tools and demonstrate their usage

Scheme of Examination: One question is to be set from Part-A: 50 marks

One question is to be set from either

Part-B or Part-C: 30 marks

Viva Voce: 20 Marks

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B. E. Industrial Engineering & Management

Choice Based Credit System (CBCS) and Outcome Based Education (OBE)

SEMESTER - III

METALLOGRAPHY AND MATERIAL TESTING LAB

Course Code 18IML38/48 CIE Marks 40

Number of Lecture Hours/Week (L:T:P) 0:2:2 SEE Marks 60

Credits 02 Exam Hours 03

Course Learning Objectives:

PART – A 1. Preparation of specimen for Metallograpic examination of different engineering materials. Identification of

microstructures of plain carbon steel, tool steel, gray C.I, SG iron, Brass, Bronze & composites.

2. Heat treatment: Annealing, normalizing, hardening and tempering of steel. Hardness studies of heattreated

samples.

3. To study the wear characteristics of ferrous, non-ferrous and composite materials for different parameters.

4. Non-destructive test experiments like, (a). Ultrasonic flaw detection (b). Magnetic crack detection (c). Dye

penetration testing. To study the defects of Cast and Welded specimens

PART – B

1. Tensile, shear and compression tests of metallic and non metallic specimens using Universal Testing

Machine

2. Torsion Test

3. Bending Test on metallic and nonmetallic specimens.

4. Izod and Charpy Tests on M.S, C.I Specimen.

5. Brinell, Rockwell and Vickers’s Hardness test.

6. Fatigue Test.

Course Outcomes: At the end of the course the student will be able to:

• Identify the measuring instrument and demonstrate its usage.

• Calibrate pressure sensor, thermocouple, LVDT and load cell.

• Explain the usage of slip gauges for calibration of vernier caliper, height gauge and micrometer.

• Determine the form tolerance (cylindricity and circularity).

Scheme of Examination: ONE question from part -A: 20 Marks

ONE question from part -B: 40 Marks

Viva -Voice: 20 Marks Total: 80 Marks

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B. E. (Common to all Programmes)

Choice Based Credit System (CBCS) and Outcome Based Education (OBE)

SEMESTER –II / III / IV

Aadalitha Kannada

Course Code 18KAK28/39/49

CIE Marks 100 Teaching Hours/Week (L:T:P) (0:2:0)

Credits 01 DqÀ½vÀ PÀ£ÀßqÀ PÀ°PÉAiÀÄ GzÉÝñÀUÀ¼ÀÄ:DqÀ½vÀ PÀ£ÀßqÀ PÀ°PÉAiÀÄ GzÉÝñÀUÀ¼ÀÄ:DqÀ½vÀ PÀ£ÀßqÀ PÀ°PÉAiÀÄ GzÉÝñÀUÀ¼ÀÄ:DqÀ½vÀ PÀ£ÀßqÀ PÀ°PÉAiÀÄ GzÉÝñÀUÀ¼ÀÄ:

• ¥ÀzÀ« «zÁåyð¼ÁVgÀĪÀÅzÀjAzÀ DqÀ½vÀ PÀ£ÀßqÀzÀ ¥ÀjZÀAiÀÄ ªÀiÁrPÉÆqÀĪÀÅzÀÄ.

• «zÁåyðUÀ¼À°è PÀ£ÀßqÀ ¨sÁµÉAiÀÄ ªÁåPÀgÀtzÀ §UÉÎ CjªÀÅ ªÀÄÆr¸ÀĪÀÅzÀÄ.

• PÀ£ÀßqÀ s̈ÁµÁ gÀZÀ£ÉAiÀÄ°è£À ¤AiÀĪÀÄUÀ¼À£ÀÄß ¥ÀjZÀ¬Ä¸ÀĪÀÅzÀÄ.

• PÀ£ÀßqÀ s̈ÁµÁ §gÀºÀzÀ°è PÀAqÀħgÀĪÀ zÉÆõÀUÀ¼ÀÄ ºÁUÀÆ CªÀÅUÀ¼À ¤ªÁgÀuÉ. ªÀÄvÀÄÛ ¯ÉÃR£À aºÉßUÀ¼À£ÀÄß ¥ÀjZÀ¬Ä¸ÀĪÀÅzÀÄ.

• ¸ÁªÀiÁ£Àå CfðUÀ¼ÀÄ, ¸ÀPÁðj ªÀÄvÀÄÛ CgÉ ¸ÀPÁðj ¥ÀvÀæªÀåªÀºÁgÀzÀ §UÉÎ CjªÀÅ ªÀÄÆr¸ÀĪÀÅzÀÄ.

• ¨sÁµÁAvÀgÀ ªÀÄvÀÄÛ ¥Àæ§AzsÀ gÀZÀ£É §UÉÎ C¸ÀQÛ ªÀÄÆr¸ÀĪÀÅzÀÄ.

• PÀ£ÀßqÀ s̈ÁµÁ¨sÁå¸À ªÀÄvÀÄÛ ¸ÁªÀiÁ£Àå PÀ£ÀßqÀ ºÁUÀÆ DqÀ½vÀ PÀ£ÀßqÀzÀ ¥ÀzÀUÀ¼À ¥ÀjZÀAiÀÄ ªÀiÁrPÉÆqÀĪÀÅzÀÄ. ¥Àj«r (¥ÀoÀå¥ÀĸÀÛPÀzÀ°ègÀĪÀ «µÀAiÀÄUÀ¼À ¥ÀnÖ)¥Àj«r (¥ÀoÀå¥ÀĸÀÛPÀzÀ°ègÀĪÀ «µÀAiÀÄUÀ¼À ¥ÀnÖ)¥Àj«r (¥ÀoÀå¥ÀĸÀÛPÀzÀ°ègÀĪÀ «µÀAiÀÄUÀ¼À ¥ÀnÖ)¥Àj«r (¥ÀoÀå¥ÀĸÀÛPÀzÀ°ègÀĪÀ «µÀAiÀÄUÀ¼À ¥ÀnÖ)

CzsÁåAiÀÄ – 1 PÀ£ÀßqÀ¨sÁµÉ – ¸ÀAQë¥ÀÛ «ªÀgÀuÉ.

CzsÁåAiÀÄ – 2 s̈ÁµÁ ¥ÀæAiÉÆÃUÀzÀ¯ÁèUÀĪÀ ¯ÉÆÃ¥ÀzÉÆõÀUÀ¼ÀÄ ªÀÄvÀÄÛ CªÀÅUÀ¼À ¤ªÁgÀuÉ.

CzsÁåAiÀÄ – 3 ¯ÉÃR£À aºÉßUÀ¼ÀÄ ªÀÄvÀÄÛ CªÀÅUÀ¼À G¥ÀAiÉÆÃUÀ.

CzsÁåAiÀÄ – 4 ¥ÀvÀæ ªÀåªÀºÁgÀ.

CzsÁåAiÀÄ – 5 DqÀ½vÀ ¥ÀvÀæUÀ¼ÀÄ.

CzsÁåAiÀÄ – 6 ¸ÀPÁðgÀzÀ DzÉñÀ ¥ÀvÀæUÀ¼ÀÄ.

CzsÁåAiÀÄ – 7 ¸ÀAQë¥ÀÛ ¥Àæ§AzsÀ gÀZÀ£É (¦æ¸Éʸï gÉÊnAUï), ¥Àæ§AzsÀ ªÀÄvÀÄÛ ¨sÁµÁAvÀgÀ.

CzsÁåAiÀÄ – 8 PÀ£ÀßqÀ ±À§Ý¸ÀAUÀæºÀ.

CzsÁåAiÀÄ – 9 PÀA¥ÀÆålgï ºÁUÀÆ ªÀiÁ»w vÀAvÀæeÁÕ£À.

CzsÁåAiÀÄ – 10 ¥Áj¨sÁ¶PÀ DqÀ½vÀ PÀ£ÀßqÀ ¥ÀzÀUÀ¼ÀÄ ªÀÄvÀÄÛ vÁAwæPÀ/ PÀA¥ÀÆålgï ¥Áj s̈Á¶PÀ ¥ÀzÀUÀ¼ÀÄ.

DqÀ½vÀ PÀ£ÀßqÀ PÀ°PÉAiÀÄ ¥sÀ°vÁA±ÀÀUÀ¼ÀÄ:DqÀ½vÀ PÀ£ÀßqÀ PÀ°PÉAiÀÄ ¥sÀ°vÁA±ÀÀUÀ¼ÀÄ:DqÀ½vÀ PÀ£ÀßqÀ PÀ°PÉAiÀÄ ¥sÀ°vÁA±ÀÀUÀ¼ÀÄ:DqÀ½vÀ PÀ£ÀßqÀ PÀ°PÉAiÀÄ ¥sÀ°vÁA±ÀÀUÀ¼ÀÄ:

• DqÀ½vÀ ¨sÁµÉ PÀ£ÀßqÀzÀ ¥ÀjZÀAiÀĪÁUÀÄvÀÛzÉ.

• «zÁåyðUÀ¼À°è PÀ£ÀßqÀ ¨sÁµÉAiÀÄ ªÁåPÀgÀtzÀ §UÉÎ CjªÀÅ ªÀÄÆqÀÄvÀÛzÉ.

• PÀ£ÀßqÀ s̈ÁµÁ gÀZÀ£ÉAiÀÄ°è£À ¤AiÀĪÀÄUÀ¼ÀÄ ªÀÄvÀÄÛ ¯ÉÃR£À aºÉßUÀ¼ÀÄ ¥ÀjZÀ¬Ä¸À®àqÀÄvÀÛªÉ.

• ¸ÁªÀiÁ£Àå CfðUÀ¼ÀÄ, ¸ÀPÁðj ªÀÄvÀÄÛ CgÉ ¸ÀPÁðj ¥ÀvÀæªÀåªÀºÁgÀzÀ §UÉÎ CjªÀÅ ªÀÄÆqÀÄvÀÛzÉ.

• ¨sÁµÁAvÀgÀ ªÀÄvÀÄÛ ¥Àæ§AzsÀ gÀZÀ£É §UÉÎ C¸ÀQÛ ªÀÄÆqÀÄvÀÛzÉ.

• PÀ£ÀßqÀ s̈ÁµÁ¨sÁå¸À ªÀÄvÀÄÛ ¸ÁªÀiÁ£Àå PÀ£ÀßqÀ ºÁUÀÆ DqÀ½vÀ PÀ£ÀßqÀzÀ ¥ÀzÀUÀ¼ÀÄ ¥ÀjZÀ¬Ä¸À®àqÀÄvÀÛªÉ. ¥ÀjÃPÉëAiÀÄ «zsÁ£À : ¤gÀAvÀgÀ DAvÀjPÀ ªÀiË®åªÀiÁ¥À£À ¥ÀjÃPÉëAiÀÄ «zsÁ£À : ¤gÀAvÀgÀ DAvÀjPÀ ªÀiË®åªÀiÁ¥À£À ¥ÀjÃPÉëAiÀÄ «zsÁ£À : ¤gÀAvÀgÀ DAvÀjPÀ ªÀiË®åªÀiÁ¥À£À ¥ÀjÃPÉëAiÀÄ «zsÁ£À : ¤gÀAvÀgÀ DAvÀjPÀ ªÀiË®åªÀiÁ¥À£À ---- CIE (Co(Co(Co(Continuous Internal Evaluation):ntinuous Internal Evaluation):ntinuous Internal Evaluation):ntinuous Internal Evaluation): PÁ¯ÉÃdÄ ªÀÄlÖzÀ°èAiÉÄ DAvÀjPÀ ¥ÀjÃPÉëAiÀÄ£ÀÄß 100 CAPÀUÀ½UÉ «±Àé«zÁå®AiÀÄzÀ ¤AiÀĪÀÄUÀ¼ÀÄ ªÀÄvÀÄÛ ¤zÉðñÀ£ÀzÀAvÉ £ÀqɸÀvÀPÀÌzÀÄÝ. ¥ÀoÀå¥ÀĸÀÛPÀ : DqÀ½vÀ PÀ£ÀßqÀ ¥ÀoÀå ¥ÀĸÀÛPÀ ¥ÀoÀå¥ÀĸÀÛPÀ : DqÀ½vÀ PÀ£ÀßqÀ ¥ÀoÀå ¥ÀĸÀÛPÀ ¥ÀoÀå¥ÀĸÀÛPÀ : DqÀ½vÀ PÀ£ÀßqÀ ¥ÀoÀå ¥ÀĸÀÛPÀ ¥ÀoÀå¥ÀĸÀÛPÀ : DqÀ½vÀ PÀ£ÀßqÀ ¥ÀoÀå ¥ÀĸÀÛPÀ (Kannada for Administration)(Kannada for Administration)(Kannada for Administration)(Kannada for Administration)

¸ÀÀA¥ÁzÀPÀgÀĸÀÀA¥ÁzÀPÀgÀĸÀÀA¥ÁzÀPÀgÀĸÀÀA¥ÁzÀPÀgÀÄ qÁ. J¯ï. wªÉÄäñÀqÁ. J¯ï. wªÉÄäñÀqÁ. J¯ï. wªÉÄäñÀqÁ. J¯ï. wªÉÄäñÀ ¥ÉÆæ. «. PÉñÀªÀªÀÄÆwð¥ÉÆæ. «. PÉñÀªÀªÀÄÆwð¥ÉÆæ. «. PÉñÀªÀªÀÄÆwð¥ÉÆæ. «. PÉñÀªÀªÀÄÆwð ¥ÀæPÀluÉ : ¥Àæ̧ ÁgÁAUÀ, «±ÉéñÀégÀAiÀÄå vÁAwæPÀ «±Àé«zÁå®AiÀÄ, ¨É¼ÀUÁ«.¥ÀæPÀluÉ : ¥Àæ̧ ÁgÁAUÀ, «±ÉéñÀégÀAiÀÄå vÁAwæPÀ «±Àé«zÁå®AiÀÄ, ¨É¼ÀUÁ«.¥ÀæPÀluÉ : ¥Àæ̧ ÁgÁAUÀ, «±ÉéñÀégÀAiÀÄå vÁAwæPÀ «±Àé«zÁå®AiÀÄ, ¨É¼ÀUÁ«.¥ÀæPÀluÉ : ¥Àæ̧ ÁgÁAUÀ, «±ÉéñÀégÀAiÀÄå vÁAwæPÀ «±Àé«zÁå®AiÀÄ, ¨É¼ÀUÁ«.

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16

B. E. (Common to all Programmes)

Choice Based Credit System (CBCS) and Outcome Based Education (OBE)

SEMESTER –II & III/IV

Vyavaharika Kannada

Course Code 18KVK28/39/49

CIE Marks 100 Teaching Hours/Week (L:T:P) (0:2:0)

Credits 01

Course Learning Objectives:

The course will enable the students to understand Kannada and communicate in Kannada language.

Table of Contents:

Chapter - 1: Vyavaharika kannada – Parichaya (Introduction to Vyavaharika Kannada).

Chapter - 2: Kannada Aksharamale haagu uchcharane ( Kannada Alpabets and Pronunciation).

Chapter - 3: Sambhashanegaagi Kannada Padagalu (Kannada Vocabulary for Communication).

Chapter - 4: Kannada Grammar in Conversations (Sambhashaneyalli Kannada Vyakarana).

Chapter - 5: Activities in Kannada.

Course Outcomes:

At the end of the course, the student will be able to understand Kannada and communicate in Kannada

language. ¥ÀjÃPÉëAiÀÄ «zsÁ£À : ¤gÀAvÀgÀ DAvÀjPÀ ªÀiË®åªÀiÁ¥À£À ¥ÀjÃPÉëAiÀÄ «zsÁ£À : ¤gÀAvÀgÀ DAvÀjPÀ ªÀiË®åªÀiÁ¥À£À ¥ÀjÃPÉëAiÀÄ «zsÁ£À : ¤gÀAvÀgÀ DAvÀjPÀ ªÀiË®åªÀiÁ¥À£À ¥ÀjÃPÉëAiÀÄ «zsÁ£À : ¤gÀAvÀgÀ DAvÀjPÀ ªÀiË®åªÀiÁ¥À£À ---- CIE (Continuous Internal Evaluation):(Continuous Internal Evaluation):(Continuous Internal Evaluation):(Continuous Internal Evaluation): PÁ¯ÉÃdÄ ªÀÄlÖzÀ°èAiÉÄ DAvÀjPÀ ¥ÀjÃPÉëAiÀÄ£ÀÄß 100 CAPÀUÀ½UÉ «±Àé«zÁå®AiÀÄzÀ ¤AiÀĪÀÄUÀ¼ÀÄ ªÀÄvÀÄÛ ¤zÉðñÀ£ÀzÀAvÉ £ÀqɸÀvÀPÀÌzÀÄÝ. Textbook (¥ÀoÀå¥ÀĸÀÛPÀ): Textbook (¥ÀoÀå¥ÀĸÀÛPÀ): Textbook (¥ÀoÀå¥ÀĸÀÛPÀ): Textbook (¥ÀoÀå¥ÀĸÀÛPÀ): ªÁåªÀºÁjPÀ ªÁåªÀºÁjPÀ ªÁåªÀºÁjPÀ ªÁåªÀºÁjPÀ PÀ£ÀßqÀ ¥ÀoÀå ¥ÀĸÀÛPÀ PÀ£ÀßqÀ ¥ÀoÀå ¥ÀĸÀÛPÀ PÀ£ÀßqÀ ¥ÀoÀå ¥ÀĸÀÛPÀ PÀ£ÀßqÀ ¥ÀoÀå ¥ÀĸÀÛPÀ ((((Vyavaharika Kannada Vyavaharika Kannada Vyavaharika Kannada Vyavaharika Kannada Text Book)Text Book)Text Book)Text Book)

¸ÀÀA¥ÁzÀPÀgÀĸÀÀA¥ÁzÀPÀgÀĸÀÀA¥ÁzÀPÀgÀĸÀÀA¥ÁzÀPÀgÀÄ qÁ. J¯ï. wªÉÄäñÀqÁ. J¯ï. wªÉÄäñÀqÁ. J¯ï. wªÉÄäñÀqÁ. J¯ï. wªÉÄäñÀ ¥ÉÆæ. «. PÉñÀªÀªÀÄÆwð¥ÉÆæ. «. PÉñÀªÀªÀÄÆwð¥ÉÆæ. «. PÉñÀªÀªÀÄÆwð¥ÉÆæ. «. PÉñÀªÀªÀÄÆwð ¥ÀæPÀluÉ : ¥Àæ¸ÁgÁAUÀ, «±ÉéñÀégÀAiÀÄå vÁAwæPÀ «±Àé«zÁå®AiÀÄ, ¨É¼ÀUÁ«.¥ÀæPÀluÉ : ¥Àæ¸ÁgÁAUÀ, «±ÉéñÀégÀAiÀÄå vÁAwæPÀ «±Àé«zÁå®AiÀÄ, ¨É¼ÀUÁ«.¥ÀæPÀluÉ : ¥Àæ¸ÁgÁAUÀ, «±ÉéñÀégÀAiÀÄå vÁAwæPÀ «±Àé«zÁå®AiÀÄ, ¨É¼ÀUÁ«.¥ÀæPÀluÉ : ¥Àæ¸ÁgÁAUÀ, «±ÉéñÀégÀAiÀÄå vÁAwæPÀ «±Àé«zÁå®AiÀÄ, ¨É¼ÀUÁ«.

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17

B. E. Common to all Programmes

Outcome Based Education (OBE) and Choice Based Credit System (CBCS)

SEMESTER - III

CONSTITUTION OF INDIA, PROFESSIONAL ETHICS AND CYBER LAW (CPC)

Course Code 18CPC39/49 CIE Marks 40

Teaching Hours/Week (L:T:P) (1:0:0) SEE Marks 60

Credits 01 Exam Hours 02

Course Learning Objectives: To

• know the fundamental political codes, structure, procedures, powers, and duties of Indian government

institutions, fundamental rights, directive principles, and the duties of citizens

• Understand engineering ethics and their responsibilities; identify their individual roles and ethical

responsibilities towards society.

• Know about the cybercrimes and cyber laws for cyber safety measures.

Module-1

Introduction to Indian Constitution:

The Necessity of the Constitution, The Societies before and after the Constitution adoption. Introduction to the

Indian constitution, The Making of the Constitution, The Role of the Constituent Assembly - Preamble and

Salient features of the Constitution of India. Fundamental Rights and its Restriction and limitations in different

Complex Situations. Directive Principles of State Policy (DPSP) and its present relevance in our

society with examples. Fundamental Duties and its Scope and significance in Nation building.

Module-2

Union Executive and State Executive: Parliamentary System, Federal System, Centre-State Relations. Union Executive – President, Prime Minister,

Union Cabinet, Parliament - LS and RS, Parliamentary Committees, Important Parliamentary Terminologies.

Supreme Court of India, Judicial Reviews and Judicial Activism. State Executives – Governor, Chief Minister,

State Cabinet, State Legislature, High Court and Subordinate Courts, Special Provisions (Articles

370.371,371J) for some States.

Module-3

Elections, Amendments and Emergency Provisions: Elections, Electoral Process, and Election Commission of India, Election Laws. Amendments - Methods in

Constitutional Amendments (How and Why) and Important Constitutional Amendments. Amendments –

7,9,10,12,42,44, 61, 73,74, ,75, 86, and 91,94,95,100,101,118 and some important Case Studies.

Emergency Provisions, types of Emergencies and its consequences.

Constitutional special provisions:

Special Provisions for SC and ST, OBC, Women, Children and Backward Classes.

Module-4

Professional / Engineering Ethics: Scope & Aims of Engineering & Professional Ethics - Business Ethics, Corporate Ethics, Personal Ethics.

Engineering and Professionalism, Positive and Negative Faces of Engineering Ethics, Code of Ethics as

defined in the website of Institution of Engineers (India): Profession, Professionalism, and Professional

Responsibility. Clash of Ethics, Conflicts of Interest. Responsibilities in Engineering Responsibilities in

Engineering and Engineering Standards, the impediments to Responsibility. Trust and Reliability in

Engineering, IPRs (Intellectual Property Rights), Risks, Safety and liability in Engineering

Module-5

Internet Laws, Cyber Crimes and Cyber Laws:

Internet and Need for Cyber Laws, Modes of Regulation of Internet, Types of cyber terror capability, Net

neutrality, Types of Cyber Crimes, India and cyber law, Cyber Crimes and the information Technology Act

2000, Internet Censorship. Cybercrimes and enforcement agencies.

Course Outcomes: On completion of this course, students will be able to,

CO 1: Have constitutional knowledge and legal literacy.

CO 2: Understand Engineering and Professional ethics and responsibilities of Engineers.

CO 3: Understand the the cybercrimes and cyber laws for cyber safety measures.

Question paper pattern for SEE and CIE:

• The SEE question paper will be set for 100 marks and the marks scored by the students will

proportionately be reduced to 60. The pattern of the question paper will be objective type (MCQ).

• For the award of 40 CIE marks, refer the University regulations 2018.

Sl. Title of the Book Name of the Name of the Edition and Year

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18

No.

Author/s Publisher

Textbook/s

1 Constitution of India,

Professional Ethics and Human

Rights

Shubham Singles,

Charles E. Haries,

and et al

Cengage Learning

India

2018

2 Cyber Security and Cyber Laws Alfred Basta and et

al

Cengage Learning

India

2018

Reference Books

3 Introduction to the

Constitution of India

Durga Das Basu Prentice –Hall, 2008.

4 Engineering Ethics M. Govindarajan, S.

Natarajan, V. S.

Senthilkumar

Prentice –Hall, 2004

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19

B. E. Common to all Programmes

Choice Based Credit System (CBCS) and Outcome Based Education (OBE)

SEMESTER - III

ADDITIONAL MATHEMATICS – I (Mandatory Learning Course: Common to All Programmes)

(A Bridge course for Lateral Entry students under Diploma quota to BE/B. Tech. programmes)

Course Code 18MATDIP31 CIE Marks 40

Teaching Hours/Week (L:T:P) (2:1:0) SEE Marks 60

Credits 0 Exam Hours 03

Course Learning Objectives:

• To provide basic concepts of complex trigonometry, vector algebra, differential and integral calculus.

• To provide an insight into vector differentiation and first order ODE’s.

Module-1

Complex Trigonometry: Complex Numbers: Definitions and properties. Modulus and amplitude of a

complex number, Argand’s diagram, De-Moivre’s theorem (without proof).

Vector Algebra: Scalar and vectors. Addition and subtraction and multiplication of vectors- Dot and Cross

products, problems.

Module-2

Differential Calculus: Review of elementary differential calculus. Polar curves –angle between the radius

vector and the tangent pedal equation- Problems. Maclaurin’s series expansions, problems.

Partial Differentiation: Euler’s theorem for homogeneous functions of two variables. Total derivatives -

differentiation of composite function. Application to Jacobians of order two.

Module-3

Vector Differentiation: Differentiation of vector functions. Velocity and acceleration of a particle moving on

a space curve. Scalar and vector point functions. Gradient, Divergence, Curl and Laplacian (Definitions only).

Solenoidal and irrotational vector fields-Problems.

Module-4

Integral Calculus: Review of elementary integral calculus. Statement of reduction formulae for

sin� �, cos� �, � sin� � × cos� �and evaluation of these with standard limits-Examples. Double and triple

integrals, problems.

Module-5

Ordinary differential equations (ODE’s): Introduction-solutions of first order and first degree differential

equations: Variable Separable methods, exact and linear differential equations of order one. Application to

Newton’s law of cooling.

Course Outcomes: At the end of the course the student will be able to:

• CO1: Apply concepts of complex numbers and vector algebra to analyze the problems arising in

related area.

• CO2: Use derivatives and partial derivatives to calculate rate of change of multivariate functions.

• CO3: Analyze position, velocity and acceleration in two and three dimensions of vector valued

functions. CO4: Learn techniques of integration including the evaluation of double and triple

integrals.

• CO5: Identify and solve first order ordinary differential equations.

Question paper pattern:

• The question paper will have ten full questions carrying equal marks.

• Each full question will be for 20 marks.

• There will be two full questions (with a maximum of four sub- questions) from each module.

Sl.

No.

Title of the Book Name of the

Author/s

Name of the

Publisher

Edition and Year

Textbook

1 Higher Engineering Mathematics B.S. Grewal Khanna

Publishers

43rd

Edition, 2015

Reference Books

1 Advanced Engineering

Mathematics

E. Kreyszig John Wiley &

Sons

10th Edition, 2015

2 Engineering Mathematics Vol.I RohitKhurana Cengage

Learning

2015

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20

B. E. Common to all Programmes

Choice Based Credit System (CBCS) and Outcome Based Education (OBE)

SEMESTER - IV

COMPLEX ANALYSIS, PROBABILITY AND STATISTICAL METHODS

Course Code 18MAT41 CIE Marks 40

Teaching Hours/Week (L:T:P) (2:2:0) SEE Marks 60

Credits 03 Exam Hours 03

Course Learning Objectives:

• To provide an insight into applications of complex variables, conformal mapping and special functions

arising in potential theory, quantum mechanics, heat conduction and field theory.

• To develop probability distribution of discrete, continuous random variables and joint probability

distribution occurring in digital signal processing, design engineering and microwave engineering.

Module-1

Calculus of complex functions: Review of function of a complex variable, limits, continuity, and

differentiability. Analytic functions: Cauchy-Riemann equations in Cartesian and polar forms and consequences.

Construction of analytic functions: Milne-Thomson method-Problems.

Module-2

Conformal transformations: Introduction. Discussion of transformations: ,,2 z

ewzw == ( )0,1

≠+= zz

zw

. Bilinear transformations- Problems.

Complex integration: Line integral of a complex function-Cauchy’s theorem and Cauchy’s integral formula and

problems.

Module-3

Probability Distributions: Review of basic probability theory. Random variables (discrete and continuous),

probability mass/density functions. Binomial, Poisson, exponential and normal distributions- problems (No

derivation for mean and standard deviation)-Illustrative examples.

Module-4

Curve Fitting: Curve fitting by the method of least squares- fitting the curves of the form-

.&,2

cbxaxyaxybaxyb

++==+= Statistical Methods: Correlation and regression-Karl Pearson’s coefficient of correlation and rank correlation-

problems. Regression analysis- lines of regression –problems.

Module-5

Joint probability distribution: Joint Probability distribution for two discrete random variables, expectation and

covariance.

Sampling Theory: Introduction to sampling distributions, standard error, Type-I and Type-II errors. Test of

hypothesis for means, student’s t-distribution, Chi-square distribution as a test of goodness of fit.

Course Outcomes: At the end of the course the student will be able to:

• CO1: Use the concepts of analytic function and complex potentials to solve the problems arising in

electromagnetic field theory.

• CO2: Utilize conformal transformation and complex integral arising in aerofoil theory, fluid flow

visualization and image processing.

• CO3: Apply discrete and continuous probability distributions in analyzing the probability models

arising in engineering field.

• CO4: Make use of the correlation and regression analysis to fit a suitable mathematical model for the

statistical data.

• CO5: Construct joint probability distributions and demonstrate the validity of testing the hypothesis.

Question paper pattern:

• The question paper will have ten full questions carrying equal marks.

• Each full question will be for 20 marks.

• There will be two full questions (with a maximum of four sub- questions) from each module.

• Each full question will have sub- question covering all the topics under a module.

• The students will have to answer five full questions, selecting one full question from each module.

Sl

No Title of the Book

Name of the

Author/s

Name of the

Publisher Edition and Year

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21

Textbooks

1 Advanced Engineering Mathematics E. Kreyszig John Wiley & Sons 10th Edition,2016

2 Higher Engineering Mathematics B. S. Grewal Khanna Publishers 44th Edition, 2017

3 Engineering Mathematics Srimanta Pal et al Oxford University

Press

3rd

Edition,2016

Reference Books

1 Advanced Engineering Mathematics C. Ray Wylie,

Louis C. Barrett

McGraw-Hill 6th Edition 1995

2 Introductory Methods of Numerical

Analysis

S. S. Sastry Prentice Hall of

India

4th Edition 2010

3 Higher Engineering Mathematics B.V. Ramana McGraw-Hill 11th Edition,2010

4 A Textbook of Engineering

Mathematics

N. P. Bali and

Manish Goyal

Laxmi Publications 6th Edition, 2014

5 Advanced Engineering Mathematics Chandrika Prasad

and Reena Garg

Khanna Publishing, 2018

Web links and Video Lectures: 1. http://nptel.ac.in/courses.php?disciplineID=111

2. http://www.class-central.com/subject/math(MOOCs)

3. http://academicearth.org/

4. VTU EDUSAT PROGRAMME - 20

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22

B. E. Industrial Engineering & Management

Choice Based Credit System (CBCS) and Outcome Based Education (OBE)

SEMESTER - IV

COMPUTER AIDED MACHINE DRAWING

Course Code 18IM42 CIE Marks 40

Teaching Hours/Week (L:T:P) (3:2:0) SEE Marks 60

Credits 04 Exam Hours 03

Course Learning Objectives: • To sketch the Sections of Solids, where a student can have inner details of the solids.

• Analyze the pictorial views and convert into orthographic view using first angle projection.

• The students are taught the importance, applications and selection of fasteners, keys, cotters and

couplings etc.

• To create an interest in alternative joining process.

• With the thorough knowledge of part drawings of individual components, the final assembly drawing of

the machine part can be hand sketched and drafted by using solid edge software.

PART-A

Module-1

Section of solids: Sections of Solids: Sections of Pyramids, Prisms, Cubes, Tetrahedrons, Cones and Cylinders

resting only on their base (No problems on, axis inclination, spheres and hollow solids) True shape of section.

Orthographic Views: Conversion of pictorial views into orthographic projections of simple machine parts with

or without section. (Bureau of Indian Standards conventions are to be followed for the drawings) Hidden line

conventions. Precedence of lines.

Module-2

Thread forms: Thread terminology, sectional views of threads. ISO Metric (Internal & External), BSW

(Internal & External) square and Acme. Sellers thread, American Standard thread.

Fasteners: Hexagonal headed bolt and nut with washer (assembly), square headed bolt and nut with washer

(assembly), simple assembly using stud bolts with nut and lock nut.

PART-B

Module-3

Riveted Joints: Single and double riveted lap joints, butt joints with single/double cover straps (Chain and

Zigzag, using snap head rivets).

Keys: Parallel, Taper and Feather key.

Cotter joint (socket and spigot), knuckle joint (pin joint) for two rods.

Couplings: Split Muff coupling and Protected type flanged coupling

PART-C

Module-4

Assembly Drawings: ( Parts drawings shall be given)

1. Screw jack (Bottle type).

2. Plummer block (Pedestal Bearing).

3. Machine vice.

Course Outcomes. After the course the students will be able to

• Understand sections of Solids, Sectional views, concept of Auxiliary views sketching and preparation of

CAD drawing using Solid Edge software.

• Students are able to understand & use the various types of Fasteners like nuts, bolts & threaded profiles

of various standards (ISO, British etc,,)

• Sketch & prepare CAD drawing of riveted joints / sectional views etc. & understand the functions of

fabrication processes.

• Sketch & prepare CAD drawing of various couplings, Cotter joint, Knuckle joint etc.,

• Sketch & prepare assembly (3-D view) and orthographic views of Screw Jack, Plummer Block and

Machine Vice, Connecting Rod.

• Implement the above skills in fabrication for the given mechanical design projects in higher semesters.

Pursue higher education in the field (CAD/CAM/CAE) to become a specialist.

Question paper pattern:

• Two questions are set from Part-A, Part-B, and Part-C.

• Students has to answer one question each from Part-A, Part-B for 20 marks each and one question from

Part C for 60 marks and total= 100 marks.

TEXT BOOKS: 1. A Primer on Computer Aided Machine Drawing-2007’, Published by VTU, Belgaum.

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23

2. Machine Drawing’, N. D. Bhat & V.M. Panchal.

3. Computer Aided Machine Drawing, K.R. Gopalakrishna, A.S. Ravindra,Subhas Publication-2017

REFERENCE BOOKS:

1. Machine Drawing, N. Siddeshwar, P. Kannaiah, V. V. S. Sastri published by Tata Mc GrawHill,2006.

2. A Text Book of Computer Aided Machine Drawing’, S. Trymbaka Murthy, CBS Publishers, New

Delhi, 2007.

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24

B. E. Industrial Engineering & Management

Choice Based Credit System (CBCS) and Outcome Based Education (OBE)

SEMESTER - IV

KINEMATICS OF MACHINES

Course Code 18IM43 CIE Marks 40

Teaching Hours/Week (L:T:P) (3:0:0) SEE Marks 60

Credits 03 Exam Hours 03

Course Learning Objectives: To enable the student to

1. Acquire knowledge of mechanism and their inversions that are required to construct a machine with

the help of different linkages.

2. Acquire knowledge of mechanism and their inversions that are required to construct a machine with

the help of different linkages.

3. Find degree of freedom for various combinations of linkages.

4. Find the velocity and acceleration of mechanisms. Understand spur gear terminology, find the

minimum number of tooth to transmit the motion, and also they know, how to ovoid interference.

5. Understand how effectively utilize the gear train in power transmission. Draw the com profile for

different motion of the follower.

Module-1

Introduction: Definition, link or element, kinematic pairs, Degree of freedom, Grubler’s criterion (without

derivation), Problems to find degree of freedom for combination of links, Kinematic chain, Mechanism,

structure, Mobility of Mechanism, Inversion, Machine.

Kinematics Chains and Inversions: Inversions of Four bar chain; Single slider crank chain and Double Slider

crank chain

Module-2

Mechanisms: Quick return motion mechanism: Whitworth mechanism, and crank and slotted lever mechanism.

Straight line motion mechanism: Peaucellier’s mechanism and Robert’s mechanism, Intermittent motion

mechanisms- Geneva wheel mechanism and Ratchet and Pawl mechanism, Other mechanisms: Toggle

mechanism. Pentograph.

Module-3

Velocity and Acceleration Analysis of Mechanism (Graphical Method) Velocity and acceleration analysis of

Four bar mechanism, slider crank mechanism and simple mechanisms by vector polygons: Relative velocity and

acceleration of particles in a common link, relative velocity and accelerations of coincident particles on separate

links.

Module-4

Gears: Introduction, Classification of Gears, Gear terminology, law of gearing, Path of contact, Contact ratio,

Interference in involute gears, Minimum number of teeth, Problems to find Addendum, Path of contact, Arc of

contact, minimum number of teeth on each wheel to ovoid interference, contact ratio only.

Gear Trains: Simple gear trains, Compound gear trains for large speed reduction, Epicyclic gear trains,

Algebraic and tabular methods of finding velocity ratio of epicyclic gear trains, Tooth load and torque

calculations in epicyclic gear trains.

Module-5

Cams: Introduction, types of cams, types of followers, terminology of cam. Motions of follower, Displacement,

Velocity, and acceleration curves of one complete rotation of cam. Draw the cam profile for follower motions

including SHM, Uniform velocity, uniform acceleration and retardation and cycloidal motion. Determine the

maximum velocity and acceleration for above mentioned motions only for knife edge and roller follower.

Course Outcomes:

• Understand the definition of terms used in kinematics of machines, working of four bar chain, single

slider crank chain, and double slide crank chain, their inversions, intermittent motion and straight line

motion mechanisms. Apply to construct the combination of links to get a mechanism or machine to do a

required useful work.

• Understand the analysis of velocity and acceleration of mechanisms using graphical method. In further

vibration studies, acceleration evaluates the natural frequency of a machine to justify the safe running of

a machine.

• Understand the terminology and characteristics of spur gear and gear trains. Formulate and solving the

gear train to evaluate speed, torque and output for create a required gear train of smaller sizes in a lesser

space.

• Illustrate and analyze CAM profiles with the knowledge of motions of follower. To create a cam profile

for required follower motion &justify the maximum velocity and acceleration of the follower.

Question paper pattern:

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25

• The question paper will have ten full questions carrying equal marks.

• Each full question will be for 20 marks.

• There will be two full questions (with a maximum of four sub- questions) from each module.

• Each full question will have sub- question covering all the topics under a module.

• The students will have to answer five full questions, selecting one full question from each module.

Text Books:

1. Theory of Machines, Rattan. S. S, Tata Mc Graw-Hill Publishing Co Ltd, New Delhi, 3rd edition-2009.

2. Theory of Machines, Sadhu Singh, Pearson Education ( Singapore) Pvt, Ltd, Indian Branch, New Delhi,

2nd Ed, 2006.

Reference Books:

1. Theory of Machines and Mechanisms, J. J. Uicker, G.R. Penock, J.E. Shigley, OXFORD 3rd Ed. 2009.

2. Mechanism and Machine theory, Ambakar, PHI

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26

B. E. Industrial Engineering & Management

Choice Based Credit System (CBCS) and Outcome Based Education (OBE)

SEMESTER - IV

STATISTICS FOR ENGINEERS

Course Code 18IM44 CIE Marks 40

Number of Lecture Hours/Week (L:T:P) 3:0:0 SEE Marks 60

Credits 03 Exam Hours 03

Course Learning Objectives:

1. Explain the concepts related to data summarization, data handling and estimation techniques for statistical

processing.

2. Apply the concepts of probability, distributions and their applications to derive point and interval estimates.

3. Analyze problems using descriptive and inferential statistical processing of data.

4. Understand and apply the concept of factorial Design for optimizing the process parameters.

Module-1

THE ROLE OF STATISTICS IN ENGINEERING: Statistical Thinking, Collecting data, Statistical Modelling

Frame work.

DATA SUMMARY AND PRESENTATION: Measure of central tendency and variance, Importance of Data

summary and Display, Tabular and Graphical display.

DISCRETE RANDOM VARIABLES AND PROBABILITY

DISTRIBUTIONS: Discrete Random variables, Probability distributions and Probability mass functions,

Cumulative distribution functions, Mean and Variance of a discrete random variable, Discrete uniform distribution,

Binominal distribution, Hyper Geometric distribution, Poisson distribution.

Module-2

CONTINUOUS RANDOM VARIABLES AND PROBABILITY

DISTRIBUTIONS: Continuous random variables, Probability distributions and probability density functions,

cumulative distribution functions, Mean and Variance of a continuous random variable, uniform distribution,

Normal distribution, Normal approximation to Binominal and Poisson distribution.

ESTIMATION THEORY: Statistical Inference, Random sampling, Properties of Estimators, Sampling

distribution, Sampling distribution of mean, variance and proportion. Introduction to confidence intervals.

Module-3

STATISTICAL INFERENCE FOR A SINGLE SAMPLE: Hypothesis testing, Inference on the mean of a

population (variance known and unknown), Inference on the variance of a normal population, Inference on a

population proportion.

STATISTICAL INFERENCE FOR TWO SAMPLES: Inference for a difference in Means, Variances known,

Inference for a difference in means of two normal distributions, Variances unknown, Inference on the Variances of

two normal populations, Inference on two population proportions.

NON-PARAMETRIC TESTS- Chi-square tests, Goodness of fit and Contingency table tests

Module-4

SIMPLE LINEAR REGRESSIONS AND CORRELATION: Simple Linear Regression, Properties of Least

square Estimators and Estimation of variances, Common abuses of regression, Prediction of new observations,

Assessing the adequacy of regression model, Transformations to a straight line, Introduction to multiple regression

(no problems), Correlation (Problems).

Module-5

DESIGN OF EXPERIMENTS: Strategy of experimentation, completely randomized single - factor experiment,

Tests on individual treatment means, the random effects model, the randomized complete block design, one way

analysis of variance and two way analysis of variance, 22 Factorial Design, 23 Factorial Design (Problems).

Course Outcomes:

CO1. Explain and report data set using data analysis, presentation and interpretation techniques to understand

various phenomena in the fields of engineering.

CO2.Apply various statistical processing techniques to handle a set of data to estimate probabilities.

CO3.Apply an appropriate statistical tool and analyze a specific set of data to estimate and draw conclusions about

population parameters.

CO4. Draw inferences about population parameters and relations between variables based on analysis of sample

data.

CO5. Design and conduct engineering experiments involving 2 factors with 2 or 3 levels.

Question paper pattern:

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• The question paper will have ten full questions carrying equal marks.

• Each full question will be for 20 marks.

• There will be two full questions (with a maximum of four sub- questions) from each module.

• Each full question will have sub- question covering all the topics under a module.

• The students will have to answer five full questions, selecting one full question from each module.

Text Books:

1. Applied statistics and Probability for Engineers – Douglas C Montgomery, George CRunger, 2ndEdn, John

Wiley and Sons, ISBN-0-471-17027-5

2. Statistics for Management - Richard I Levin, David S Rubin, 6thEdn, Prentice Hall India, ISBN-81-203-

0893-X

Reference Books:

1. Probability and Statistics in Engineering - William W Hines, Douglas C Montgomery, 2ndEdn, John Wiley

and Sons

2. Business Statistics for Management and Economics - Daniel, Terrell, 6thEdn, Houghton Mifflin Company,

ISBN-0-395-62835-0

3. Probability and Statistics - Walpole & Mayer, MacMillan Publishing Company, 1989.

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28

B. E. Industrial Engineering & Management

Choice Based Credit System (CBCS) and Outcome Based Education (OBE)

SEMESTER - IV

MATERIALS SCIENCE AND METALLURGY

Course Code 18IM45 CIE Marks 40

Number of Lecture Hours/Week (L:T:P) 3:0:0 SEE Marks 60

Credits 03 Exam Hours 03

Course Learning Objectives:

• To understand the different crystal structures

• To understand concepts imperfection in crystals and their effects on properties of the material

• To learn the mechanism of diffusion and distinguish between steady and non-steady types.

• To appreciate the significance and construction of phase diagrams

• To construct the iron carbon equilibrium diagram and identify different phases

• To understand the properties of different metals resulting from different heat treatments

• To understand Fatigue phenomena and creep mechanism

• To have a knowledge of steels and cast irons, ferrous alloys, low, medium and high carbon, AISI

designation steels.

• To know the properties and applications of Ceramic materials

• T understand different composite materials and their applications

Module-1

Crystal structure:-Unit Cells, Crystal systems, BCC, FCC, and HCP structures, coordination number and atomic

packing factors. Crystal Imperfection: Point, line and surface imperfections.

Atomic diffusion: Fick's laws of diffusion, factors affecting diffusion, Steady and non-steady state diffusions.

Module-2

Dislocation characteristics of dislocations slip systems: slip in single crystals, Plastic deformation of

polycrystalline materials, Deformation by twinning. Fracture: Types of fracture, ductile and brittle fracture,

Ductile to brittle transition temperature.

Fatigue and creep: cyclic stresses SN curves, crack initiation and propagation, Factors affecting fatigue life.

Creep behaviour: stress and temperature effects.

Module-3

Phase Diagrams: Solid solutions, Hume-Rothary rules-substitutional and interstitial solid solutions, Intermediate

phases, Gibbs phase rule, construction of equilibrium diagrams, lever rule. Iron-carbon equilibrium diagrams:

solidification of steels and cast irons, Invariant reactions, TTT curves, and continuous cooling curves.

Module-4

Heat Treatment of Metals: annealing, normalizing, hardening, and tempering: martempering, austempering.

Hardenability, surface hardening methods like carburizing, cyaniding, nitriding, flame hardening and induction

hardening. Age hardening of aluminium–copper alloys.

Recovery, recrystallization and grain growth: Recrystallization temperature, annealing temperature v/s cold-

worked and recovered grains, Direction of grain boundary motion, time v/s grain diameter.

Module-5

Steels and cast irons: Ferrous alloys, steels: low, medium and high carbon, AISI designation steels.Cast irons –

types, properties and applications.

Ceramics: Glasses, Glass – ceramics, clay products, refractories, abrasives.

Composite materials: Types of matrix & reinforcements materials. Application of fiber reinforced, metal matrix

and ceramic composites: Aerospace, automobile and military

Course Outcomes: After the completion of the course, a student will

• Estimate the impact of imperfection on the property of the material

• Analyze steady and non-steady types of diffusion and solve related problems

• Construct the iron carbon diagram and TTT curves.

• Estimate the hardness and other properties of metals obtained from different heat treatment processes.

• Select the right iron-carbon alloy for any given application.

Text Books:

1. William D Callister, “An Introduction -Material’s Science and Engineering”, John Wiley and Sons India Pvt

Ltd., 6th Edition, 2006 New Delhi.

2. Smith -Foundation of Material Science and Engineering, 3rd Edition, McGraw Hill, 1997.

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29

3. Donald R Askland, Pradeep. P. Phule -Essentials of Materials for Science and Engineering, Thomson

Engineering, 4th edition 2003.

Reference Books:

1. V Raghavan -Physical Metallurgy, Principles and Practices, PHI, 2nd Edition 2006, New Delhi.

2. Materials science and Metallurgy O.P Khanna, revised edition 2017. Dhanpat Rai Publications

3. James F Shackelford -Introduction to Material Science for Engineering, 6th edition

4. Pearson Prentice hall, New Jersey, 2006.

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30

B. E. Industrial Engineering & Management

Choice Based Credit System (CBCS) and Outcome Based Education (OBE)

SEMESTER - IV

WORK STUDY AND ERGONOMICS

Course Code 18IM46 CIE Marks 40

Teaching Hours/Week (L:T:P) 3:0:0 SEE Marks 60

Credits 03 Exam Hours 03

Course Learning Objectives:

1. Define concepts related to principles of productivity & work study as a tool for increasing the efficiency

and effectiveness in organizational systems.

2. Differentiate the existing method, compare and propose a new method.

3. Recognize the usage of the various tools and techniques used in work measurement.

4. Demonstrate basic ideas of ergonomics and its design.

5. Analyze the concepts related Man-Machine Interfaces and Design of Displays and controls

Module-1

Productivity and Work Study: Definition of productivity, task of management, productivity of materials, land,

building, machine and power factors affecting the productivity, work content, basic work content, excess work

content, how manufacturing job is made up, work content due to excess product and process, ineffective time due

to short comings on part of the management.

Definition, Objective and scope of Work Study: Work study and management, work study and worker

Module-2

Method Study: Definition, objective and scope of method study, activity recording and tools, Recording tools:

Out Line Process Chart, Flow Process Chart, Flow diagram, String Diagram, Travel Chart, Multiple Activity

Chart, Two- Handed process chart.

Principles of Motion Economy: Introduction, Classification of movements. Two- hand process chart,

Micromotion study, Therbligs, SIMO Chart. Special Charts: Cyclegraph and Chronocycle graph - development,

definition and installation of the improved method.

Module-3

Work Measurement: Definition, objectives, and work measurement techniques.

Work sampling – Need, confidence levels, and sample size determination, conducting study with problems.

Time study - Definition, time study equipment, selection of job, steps in time study. Breaking jobs into elements,

recording information.

Rating: Systems of rating, standard rating, standard performance, scales of rating.

Allowances: Standard time determination, predetermined motion time study (PMTS), factors affecting rate of

working, problems on allowances

Module-4

Introduction to Ergonomics: Human factors and ergonomics, psychology, engineering, bio mechanics, industrial

design, graphics design, statistics, operation research and anthropometry Morphology of design and its relationship

with cognitive abilities of human being.

Physical Ergonomics: human anatomy, and some of the anthropometric, physiological and bio mechanical

characteristics as they relate to physical activity. Cognitive: mental processes, such as perception, memory,

reasoning, and motor response, mental workload, and decision-making.

Module-5

Man-Machine Interaction; Man-Machine interaction cycle, Man-machine interfaces, Displays: factors that

control choice of display, visual displays- qualitative displays; moving pointer displays, moving scale displays,

digital displays Indicators, auditory displays, tactile displays. Factors affecting effectiveness of displays.

Quantitative displays, check- reading displays, representational displays. Types of controls and their integration

with displays.

Design guidelines for displays and controls: viewing distance, Illumination, angle of view, reach etc., general

design checklist for displays and controls. Standards for ergonomics in engineering and design, displays and

controls

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31

Course Outcomes: At the end of the course the student will be able to:

1. Recollect the basic concepts of productivity, work content and work study and define the objective and scope of

Work Study.

2. Define the various charts and to construct the charts on the basis of present method and develop a new /

proposed method and identify the unnecessary movements.

3. Explain the basic work measurement techniques and to gain knowledge of measurement of work, rating and

imbibe the concept of allowance in estimating Standard Time.

4. Determine the basic concepts of Ergonomics and demonstrate a sound knowledge of Ergonomics in engineering

applications.

5. Demonstrate a sound knowledge of Man-Machine Interfaces and design of displays and controls in engineering

systems

Question paper pattern:

• The question paper will have ten full questions carrying equal marks.

• Each full question will be for 20 marks.

• There will be two full questions (with a maximum of four sub- questions) from each module.

• Each full question will have sub- question covering all the topics under a module.

• The students will have to answer five full questions, selecting one full question from each module.

Sl No Title of the Book Name of the

Author/s Name of the Publisher

Edition and

Year

Textbook/s

1 Introduction to Work Study – ILO International Labor

Organization

4th edition

1992

2 Human Factor in Engineering and

Design

Mark. S.

Sanders and

Ernest. J Mc

Cornick

Mc Graw-Hill Book Co.,

Inc., New York,

1993

Reference Books

3 Work Study and Ergonomics S. Dalela and

Sourabh

Standard publishers 2013

4 “Human Factors Design andbook Wesley

Woodson,

Peggy Tillman

and Barry

Tillman

McGraw-Hill; 2ndedition 1992

5 Motion and Time Study Ralph M.

Barnes

Wiley International, 7th

Edition

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32

B. E. Industrial Engineering & Management

Choice Based Credit System (CBCS) and Outcome Based Education (OBE)

SEMESTER - IV

MACHINE SHOP

Course Code 18IML37/47 CIE Marks 40

Number of Lecture Hours/Week (L:T:P) 0:2:2 SEE Marks 60

Credits 02 Exam Hours 03

Course Learning Objectives:

To provide an insight to different machine tools, accessories and attachments

• To train students into machining operations to enrich their practical skills

• To inculcate team qualities and expose students to shop floor activities

• To educate students about ethical , environmental and safety standards

Experiments:

PART – A Preparation of three models on lathe involving Plain turning, Taper turning, Step turning, Thread cutting, Facing,

Knurling, Drilling, Boring, Internal Thread cutting and Eccentric turning.

PART – B Cutting of V Groove/ dovetail / Rectangular groove using a shaper.

Cutting of Gear Teeth using Milling Machine.

Course Outcomes: • Perform turning, facing, knurling, thread cutting, tapering, eccentric turning and allied operations, keyways /

slots, grooves etc using shaper.

• Perform gear tooth cutting using milling machine.

• Understand the formation of cutting tool parameters of single point cutting tool using bench grinder / tool and

cutter grinder, Surface Milling/Slot Milling.

• Demonstrate precautions and safety norms followed in Machine Shop.

• Exhibit interpersonal skills towards working in a team.

Scheme of Examination:

One question is to be set from Part-A: 50 marks

One question is to be set from either

Part-B or Part-C: 30 marks

Viva-voce: 20 marks

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33

B. E. Industrial Engineering & Management

Choice Based Credit System (CBCS) and Outcome Based Education (OBE)

SEMESTER - IV

METROLOGY AND MEASUREMENTS LAB

Course Code 18IML38/48 CIE Marks 40

Number of Lecture Hours/Week (L:T:P) 0:2:2 SEE Marks 60

Credits 02 Exam Hours 03

Course Learning Objectives:

1. To illustrate the theoretical concepts taught in Mechanical Measurements & Metrology through experiments.

2. To illustrate the use of various measuring tools measuring techniques. 3. To understand calibration techniques

of various measuring devices.

PART – A 1. Calibration of Pressure Gauge

2. Calibration of Thermocouple

3. Calibration of LVDT

4. Calibration of Load cell

5. Determination of modulus of elasticity of a mild steel specimen using strain gauges.

PART – B 1. Measurements using Optical Projector / Toolmaker Microscope.

2. Measurement of angle using Sine Center / Sine bar / bevel protractor

3. Measurement of alignment using Autocollimator / Roller set

4. Measurement of cutting tool forces using

a. Lathe tool Dynamometer

b. Drill tool Dynamometer.

5. Measurement of Screw threads Parameters using Two wire or Three-wire method.

6. Measurements of Surface roughness, Using Tally Surf/Mechanical Comparator

7. Measurement of gear tooth profile using gear tooth vernier /Gear tooth micrometer

8. Calibration of Micrometer using slip gauges

9. Measurement using Optical Flats

Course Outcomes:

• To calibrate pressure gauge, thermocouple, LVDT, load cell, micrometer.

• To measure angle using Sine Center/ Sine Bar/ Bevel Protractor, alignment using Autocollimator/ Roller set.

• To demonstrate measurements using Optical Projector/Tool maker microscope, Optical flats. • To measure

cutting tool forces using Lathe/Drill tool dynamometer.

• To measure Screw thread parameters using 2-Wire or 3-Wire method, gear tooth profile using gear tooth

vernier/Gear tooth micrometer.

• To measure surface roughness using Tally Surf/ Mechanical Comparator.

Scheme of Examination:

ONE question from part -A: 20 Marks

ONE question from part -B: 40 Marks

Viva -Voice: 20 Marks Total: 80 Marks

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34

B. E. Common to All Programmes

Choice Based Credit System (CBCS) and Outcome Based Education (OBE)

SEMESTER - IV

ADDITIONAL MATHEMATICS – II (Mandatory Learning Course: Common to All Programmes)

(A Bridge course for Lateral Entry students under Diploma quota to BE/B. Tech programmes)

Course Code 18MATDIP41 CIE Marks 40

Teaching Hours/Week (L:T:P) (2:1:0) SEE Marks 60

Credits 00 Exam Hours 03

Course Learning Objectives:

• To provide essential concepts of linear algebra, second & higher order differential equations along with

methods to solve them.

• To provide an insight into elementary probability theory and numerical methods.

Module-1

Linear Algebra: Introduction - rank of matrix by elementary row operations - Echelon form. Consistency of system

of linear equations - Gauss elimination method. Eigen values and eigen vectors of a square matrix. Problems.

Module-2

Numerical Methods: Finite differences. Interpolation/extrapolation using Newton’s forward and backward

difference formulae (Statements only)-problems. Solution of polynomial and transcendental equations –

Newton-Raphson and Regula-Falsi methods (only formulae)- Illustrative examples. Numerical integration:

Simpson’s one third rule and Weddle’s rule (without proof) Problems.

Module-3

Higher order ODE’s: Linear differential equations of second and higher order equations with constant coefficients.

Homogeneous /non-homogeneous equations. Inverse differential operators.[Particular Integral restricted to ���� =

���,�����

�����, �� ��� ����� = ����.

Module-4

Partial Differential Equations (PDE’s): Formation of PDE’s by elimination of arbitrary constants and functions.

Solution of non-homogeneous PDE by direct integration. Homogeneous PDEs involving derivative with respect to

one independent variable only.

Module-5

Probability: Introduction. Sample space and events. Axioms of probability. Addition & multiplication theorems.

Conditional probability, Bayes’s theorem, problems.

Course Outcomes: At the end of the course the student will be able to:

• Solve systems of linear equations using matrix algebra.

• Apply the knowledge of numerical methods in modelling and solving of engineering problems.

• Apply the knowledge of numerical methods in modelling and solving of engineering problems.

• Classify partial differential equations and solve them by exact methods.

• Apply elementary probability theory and solve related problems.

Question paper pattern:

• The question paper will have ten full questions carrying equal marks.

• Each full question will be for 20 marks.

Sl.

No. Title of the Book

Name of the

Author/s Name of the Publisher Edition and Year

Textbook

1 Higher Engineering Mathematics B. S. Grewal Khanna Publishers 43rd Edition, 2015

Reference Books

1 Advanced Engineering

Mathematics

E. Kreyszig John Wiley & Sons 10th Edition, 2015

2 Engineering Mathematics Vol. I Rohit Khurana Cengage Learning 2015.

Page 35: VISVESVARAYA TECHNOLOGICAL UNIVERSITY BELAGAVIoldvtu.vtu.ac.in/pdf/cbcs/38sem2019/iemsyll.pdf · 2019-08-13 · 5 Course Outcomes : After the completion of the course, a student will

35

B. E. Industrial Engineering & Management

Choice Based Credit System (CBCS) and Outcome Based Education (OBE)

SEMESTER - V

MANAGEMENT AND ENTREPRENUERSHIP

Course Code 18IM51 CIE Marks 40

Teaching Hours/Week (L:T:P) (2:2:0) SEE Marks 60

Credits 03 Exam Hours 03

Course Learning Objectives:

1. Demonstrate the concepts of management, planning, organizing and staffing.

2. Apply the knowledge to become entrepreneur.

3. Analyze and Differentiate the requirements towards the small-scale industries and project preparation

4. Analyze and choose the appropriate institutional support to succeed as an entreprenuer.

Module-1

MANAGEMENT: Introduction- Meaning- nature and characteristics of Management, Scope and Functional areas

of management -Management as a science, art of profession -Management &Administration –Roles of

Management, Levels of Management, Development of Management Thought early management approaches-

Modem management approaches.

Module-2

ORGANIZING AND STAFFING: Nature and purpose of organization Principles of organization-Types of

organization-Departmentation Committees- Centralization Vs Decentralization of authority and responsibility-

Span of control-MBO and MBE(Meaning Only) Nature and importance of staffing— :Process of Selection&

Recruitment.

DIRECTING & CONTROLLING :Meaning and nature of directing Leadership styles, Motivation Theories,

Communication- Meaning and importance; Coordination- meaning and importance and Techniques of

Coordination. Meaning and steps in Controlling- Essentials of a sound control system-Methods of establishing

control system-Methods of establishing control.

Module-3

ENTREPRENEUR: Meaning of Entrepreneur; Evolution of the Concept; Functions of an Entrepreneur, Types of

Entrepreneur, Entrepreneur-an emerging. Class. Concept of Entrepreneurship-Evolution of Entrepreneurship,

Development of Entrepreneurship; Stages in entrepreneurial process; Role of Entrepreneurs in Economic

Development; Entrepreneurship in India; Entrepreneurship- its Barriers.

Module-4

SMALL SCALE INDUSTRIES: Definition; Characteristics; Need and rationale; Objectives; Scope; role of SSI

in Economic Development. Advantages of SSI Steps to start and SSI-Government policy towards SSI; Different

Policies of SSI; Government Support for SSI during 5year plans. Impact of Liberalization, Privatization,

Globalization on SSI Effect of WTO/GATT Supporting Agencies of Government for SSI, Meaning, Nature of

support; Objectives; Functions; Types of Help; Ancillary Industry and Tiny Industry.

Module-5

INSTITUTIONAL SUPPORT: Different Schemes; TECKSOK;KIADB; KSSIDC; KSIMC; DIC Single

Window Agency ;SISI; NSIC; SIDBI; KSFC.

PREPARATION OF PROJECT: Meaning of Project; Project Identification; Project Selection; Project Report;

Need and Significance of Report; Contents; Formulation; Guidelines by Planning Commission for Project report;

Network Analysis; Errors of Project Report; Project Appraisal. Identification of business opportunities: Market

Feasibility Study; Technical Feasibility Study; Financial Feasibility Study & Social Feasibility Study.

Course Outcomes: At the end of the course the student will be able to:

1. Explain about the management and planning.

2. Apply the knowledge on planning, organizing, staffing, directing and controlling.

3. Describe the requirements towards the small-scale industries and project preparation

4. Choose the right institutional support for a given line of business.

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36

Question paper pattern:

• The question paper will have ten full questions carrying equal marks.

• Each full question will be for 20 marks.

• There will be two full questions (with a maximum of four sub- questions) from each module.

• Each full question will have sub- question covering all the topics under a module.

• The students will have to answer five full questions, selecting one full question from each module.

Sl No Title of the Book Name of the

Author/s Name of the Publisher

Edition and

Year

Textbook/s

1 Principles of Management P.C.Tripathi,

P.N.Reddy

Tata Mc Graw Hill,

2 Dynamics of Entrepreneurial

Development &Management

Vasant Desai Himalaya Publishing

House

Reference Books

3 Management Stephen P

Robbins

PearsonEducation/PHI-

17thEdition

2003.

4 Entrepreneurship Development Poornima. M.

Charantimath

Small Business Enterprises-

Pearson Education

2006(2&4).

5 Management Fundamentals -

Concepts, Application, Skill

Development

Roberts Lusier Thomson

Page 37: VISVESVARAYA TECHNOLOGICAL UNIVERSITY BELAGAVIoldvtu.vtu.ac.in/pdf/cbcs/38sem2019/iemsyll.pdf · 2019-08-13 · 5 Course Outcomes : After the completion of the course, a student will

37

B. E. Industrial Engineering & Management

Choice Based Credit System (CBCS) and Outcome Based Education (OBE)

SEMESTER - V

OPERATIONS RESEARCH

Course Code 18IM52 CIE Marks 40

Number of Lecture Hours/Week (L:T:P) 3:2:0 SEE Marks 60

Credits 04 Exam Hours 03

Course Learning Objective: To analyze different situations in industrial and business scenario with limited

resources and obtain optimal solution within given constraints.

Module-1

Introduction: Evolution of OR, definition of OR, scope of OR, application areas of OR, steps (phases) in OR

study, characteristics and limitations of OR, models used in OR, linear programming (LP) problem-formulation

and solution by graphical method.

Solution of Linear Programming Problems: The simplex method, canonical and standard form of an LP

problem, slack, surplus and artificial variables, big M method and concept of duality, dual simplex method.

Module-2

Transportation Problem: Formulation of transportation problem, types, initial basic feasible solution using

different methods, optimal solution by MODI method, degeneracy in transportation problems, application of

transportation problem concept for maximization cases.

Assignment Problem: Formulation, types, application to maximization cases and travelling salesman problem,

flight scheduling problem.

Module-3

Project Management using Network Techniques: Introduction, network construction - rules, Fulkerson’s rule

for numbering the events, AON and AOA diagrams; Critical path method to find the expected completion time of

a project, floats; PERT for finding expected duration of an activity and project, determining the probability of

completing a project, predicting the completion time of project; crashing of simple projects (network construction

by AOA approach can be used for all the cases).

Module-4

Queuing Theory: Queuing systems and their characteristics, Pure-birth and Pure-death models (only equations),

empirical queuing models – M/M/1 and M/M/C models (no derivations) and their steady state performance

analysis.

Module-5

Game Theory: Formulation of games, types, solution of games with saddle point, graphical method of solving

mixed strategy games, dominance rule for solving mixed strategy games.

Course Outcomes: At the end of the course, the student will be able to:

CO1: Solve problems with application of methodology of Operations Research so as to formulate decision making

problems into OR models such as LP

CO2: Apply the models of transportation and Assignment to incorporate rational decision making process in real

life situations.

CO3: Analyse Project networks for the duration and cost of Project

CO4: Analyse business situations with the application of Queuing and Game theory techniques to determine value

of game and measures of performance of a queuing system.

Question paper pattern:

• The question paper will have ten full questions carrying equal marks.

• Each full question will be for 20 marks.

• There will be two full questions (with a maximum of four sub- questions) from each module.

• Each full question will have sub- question covering all the topics under a module.

• The students will have to answer five full questions, selecting one full question from each module.

Text Books:

1. Operations Research - P K Gupta and D S Hira, S Chand Publications, New Delhi, Recent edition.

2. Operations Research -S.D. Sharma – Kedarnath, Ramnath & Co – Recent edition.

Reference Books

1. Operation Research An Introduction, Taha H A, 8th Edition, 2004, PHI, ISBN: 0130488089.

2. Operations Research: Principles and Practice, Ravindran, Phillips, Solberg, 2nd Edition, 2007, John Wiley &

Sons, ISBN8126512563

3. Introduction to Operation Research, Hiller and Liberman, 8th Edition, 2004, Tata McGraw Hill, ISBN:

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38

0073017795.

4. Operations Research Theory and Application, J K Sharma, 2nd Edition, 2003, Pearson Education Pvt Ltd,

ISBN: 0333-92394-4.

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39

B. E. Industrial Engineering & Management

Choice Based Credit System (CBCS) and Outcome Based Education (OBE)

SEMESTER - V

QUALITY ASSURANCE AND RELIABILITY

Course Code 18IM53 CIE Marks 40

Number of Lecture Hours/Week (L:T:P) 3:2:0 SEE Marks 60

Credits 04 Exam Hours 03

Course Learning Objectives:

• Understand basics of quality control and quality improvement

• Construct control charts for variables and attributes to monitor processes and interpret the charts.

• Perform process homogenization & process harmonization, & to estimate capability of various processes.

• Develop strategies for selecting lots based on single sampling and double sampling plans.

• Perform Reliability evaluation of Mechanical, Electrical, and Electronics systems.

Module-1

Introduction: Dimensions of Quality, Statistical Methods for Quality, Quality costs, Seven QC tools. Quality

assurance, departmental assurance activities, ISO 9000, 14000 standards.

Statistical Process Control: Chance and assignable causes of variation. Statistical basis of control charts, Basic

principles of control charts, choice of control limits, sample size and sampling frequency, rational sub groups,

statistical basis of control charts. Analysis of patterns of control charts.

Module-2

Control Charts for Variable and Attribute Data: Controls charts for mean and Range, Control charts for mean

and standard deviation. Controls chart for fraction non- conforming (p, np charts), Control chart for non-

conformities (c and u charts).

Process capability – methods of estimating process capability, Process capability indices- !and !".

Module-3

SAMPLING INSPECTION: Concept of accepting sampling, economics of inspection, Acceptance plans –

single, double and multiple sampling. Operating characteristic curves – construction and use. Determination of

Average outgoing quality, average outgoing quality level, average total inspection, producer risk and consumer

risk.

Module-4

STATISTICAL THEORY OF TOLERANCES: Application of statistical theory of tolerances to design

tolerances in random assemblies and application in other areas. Gauge Repeatability & Reproducibility &

Measurement system analysis.

Module-5

RELIABILITY AND LIFE TESTING: Failure models of components, definition of reliability, MTBF, Failure

rate, common failure rate curve, types of failure, reliability evaluation in simple cases of exponential failures in

Series, parallel and series-parallel device configurations, Redundancy and improvement factors evaluation.

Course Outcomes: 1. Explain the fundamentals of quality control and improvement.

2. Apply modern statistical methods for process quality control and improvement.

3. Select suitable acceptance sampling schemes to reduce inspection effort and cost.

4. Apply statistical theory of tolerances to design tolerances in random assemblies.

5. Determine reliability in series, parallel and series-parallel device configurations.

Question paper pattern:

• The question paper will have ten full questions carrying equal marks.

• Each full question will be for 20 marks.

• There will be two full questions (with a maximum of four sub- questions) from each module.

• Each full question will have sub- question covering all the topics under a module.

• The students will have to answer five full questions, selecting one full question from each module.

TEXT BOOKS

1. Introduction to statistical Quality Control - D C Montgomery – John Wiley and Sons – 3rd Edition.

2. Quality Planning & Analysis - J M Juran, Frank M Gryna – Tata McGraw Hill - 3rd edition

3. Statistical Quality Control - Grant and Leavenworth - McGraw Hill-6th Edition

REFERENCE BOOKS:

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40

1. The QS9000 Documentation Toolkit -Janet L Novak and Kathleen C Bosheers - Prenctice Hall PTR - 2nd

Edition.

2. ISO 9000 a Manual for Total Quality Management - Suresh Dalela and Saurabh - S Chand and Co. -1st

Edition.

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41

B. E. Industrial Engineering & Management

Choice Based Credit System (CBCS) and Outcome Based Education (OBE)

SEMESTER - V

ENGINEERING ECONOMY

Course Code 18IM54 CIE Marks 40

Teaching Hours/Week (L:T:P) (3:0:0) SEE Marks 60

Credits 03 Exam Hours 03

Course Learning Objectives:

1. Define the fundamentals of engineering economics.

2. Explain the concepts of decision making, problem solving, and comparison of the alternatives

3. Demonstrate the understanding of concept depreciation and replacement analysis.

4. Illustrate concept of money and its importance in evaluating the engineering projects.

5. Evaluate the alternatives based on the present annual worth and equivalent annual worth methods.

Module-1

Introduction: Engineering decision – makers, engineering and economics, problem solving, intuition and

analysis, tactics and strategy with an example.

Interest and Interest Factors: Interest rate, simple interest compound interest, interest formulae, time value

equivalence exercises, problems and discussion.

Module-2

Present Worth Comparison: Conditions for present worth comparisons, rule 72, basic present worth

comparisons, present worth equivalence, net present worth, assets with equal and unequal lives, comparison of

assets assume to have infinite lives, exercises and problems. Module-3

Equivalent Annual Worth Comparisons: Situations for equivalent annual worth comparison, net annual worth

of a single project, comparison of net annual worth’s definitions of asset life, comparison of assets with equal and

unequal lives, exercises and problems.

Module-4

Depreciation: Introduction, methods of depreciation, problems.

Replacement Analysis: Reasons- Deterioration, obsolescence, inadequacy, replacement criteria problems.

Module-5

Estimating and Costing: components of costs such as direct material cost, direct labor cost, Fixed, over – heads,

factory costs, administrative – overheads, first cost, selling price, calculation of the total cost of various

components, mensuration, estimation of simple components

Course Outcomes: At the end of the course the student will be able to:

1. Demonstrate the importance of Engineering Economy in engineering decision making.

2. Compare the various alternatives based on economy fundamentals.

3. Compare of asset life using net annual worth - assets with equal and unequal lives.

4. Apply concepts of depreciation and find the value of assets. Demonstrate skills in replacement decisions.

5. Estimate the cost of engineering operations and processes by determining the elements of cost.

Question paper pattern:

• The question paper will have ten full questions carrying equal marks.

• Each full question will be for 20 marks.

• There will be two full questions (with a maximum of four sub- questions) from each module.

• Each full question will have sub- question covering all the topics under a module.

• The students will have to answer five full questions, selecting one full question from each module.

Sl

No Title of the Book

Name of the

Author/s Name of the Publisher Edition and Year

Textbook/s

1 Engineering Economy Riggs J.L McGraw Hill, 2002

2 Engineering Economy NVR. Naidu,

KM Babu and

G.Rajendra

New Age International Pvt.

Ltd

2006.

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42

Reference Books

3 Engineering Economy Theusen.G PHI, 2002

4 Financial Management I M Pandey Vikas Publishing House 2002.

5 Engineering Economy Paul Degarmo Macmillan Pub, Co. 2001

Page 43: VISVESVARAYA TECHNOLOGICAL UNIVERSITY BELAGAVIoldvtu.vtu.ac.in/pdf/cbcs/38sem2019/iemsyll.pdf · 2019-08-13 · 5 Course Outcomes : After the completion of the course, a student will

43

B. E. Industrial Engineering & Management

Choice Based Credit System (CBCS) and Outcome Based Education (OBE)

SEMESTER - V

FACILITY PLANNING AND LAYOUT DESIGN

Course Code 18IM55 CIE Marks 40

Teaching Hours/Week (L:T:P) 3:0:0 SEE Marks 60

Credits 03 Exam Hours 03

Course Learning Objectives:

1. Recognize the importance of location, layouts and material handling

2. Determine different approaches to layout and draw activity relationship chart

3. Illustrate space requirements and demonstrate skills in area of allocation and construct the layout.

4. Examine the quantitative approaches to facility planning and identify the different models

5. Compare different computerized techniques and model appropriate design.

Module-1

Plant Location: Factors influencing plant location, theories of plant location, plant layout – objectives of plant

layout, principles of plant layout, types of plant layout, their merits and demerits, facilities design function:

objectives. Simple exercises on layouts.

Introduction to Material Handling: Objectives and principles of material handling, unit load concept, Basic

handling equipment types, Common material handling equipments

Module-2

Plant Design: Layout procedure, study of some approaches (Immer, Nadler, Muther, Apple James and Reed’s

approach), systematic layout planning, the activity relationship chart, Constructing the activity relationship chart,

Activity relationship diagram.

Module-3

Space Determination and Area Allocation: Factors for consideration in space planning, receiving, storage,

production, shipping, tool room and tool crib, other auxiliary service actions, establishing total space requirement,

area allocation factors to be considered, expansion, flexibility, aisles column, area allocation procedure, the plot

plan.

Construction of the Layout: Methods of constructing the layout, evaluation of layout, efficiency indices,

presenting layout to management.

Module-4

Quantitative approaches to facilities planning: Deterministic models, single and multi facility models,

Conventional layout model: Block stacking, location allocation models,

Layout Models: Warehouse layout models, waiting line models, Storage models.

Module-5

Computerized Layout Planning: Computerized relative allocation of facility techniques (CRAFT),Plant layout

Evaluation Techniques(PLANET), Computerized Relationship Layout Planning (CORELAP), Comparison of

computerized layout techniques.

Course Outcomes: 1. Identify the planning strategies for implementation, evaluation and maintaining the facility.

2. Arrive at suitable layout for given situations having understand different approaches.

3. Demonstrate the Space determination and area allocation procedure, construction of the layout.

4. Analyze the quantitative methods and models to determine for the plant location. Explain the warehouse

and waiting line models.

5. Demonstrates the ideas on various types of layout and evaluation techniques using computers.

Question paper pattern:

• The question paper will have ten full questions carrying equal marks.

• Each full question will be for 20 marks.

• There will be two full questions (with a maximum of four sub- questions) from each module.

• Each full question will have sub- question covering all the topics under a module.

• The students will have to answer five full questions, selecting one full question from each module.

Sl No Title of the Book Name of the

Author/s Name of the Publisher

Edition and

Year

Textbook/s

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44

1 Plant layout and material

handling

James M. Apple 3nd edition John, Wiley and

sons

1991

2 Facility layout and location Françoise, R.L.

and White, J.A

McGraw Hill 2nd edition 1994

Reference Books

3 Plant layout design James.M Moore Mac Millan co. 1962

4 Facilities design Sunderesh

Heragu

PWS publishing company-

ISBN-0-534-95183

August 2008

5 Facilities planning Tompkins

White

Wiley India Pvt ltd 3rd

edition

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45

B. E. Industrial Engineering & Management

Choice Based Credit System (CBCS) and Outcome Based Education (OBE)

SEMESTER - V

MATERIALS MANAGEMENT

Course Code 18IM56 CIE Marks 40

Number of Lecture Hours/Week (L:T:P) 3:0:0 SEE Marks 60

Credits 03 Exam Hours 03

Course Learning Objectives: To provide the students with the knowledge of

1. Systems approach to materials management

2. Forecasting and materials planning

3. Purchase procedure of raw materials and capital equipment’s

4. Supplier relationship management. Inventory analysis and computerized stores management

Module-1

Introduction: Dynamics of Materials Management - Materials Management at Micro-level, Materials Management

at Macro-level. Definition of Material Management.

Systems Approach to Materials Management: Systems Approach -, Function of Materials Department Interfaces,

Benefits of the Integrated Systems Approach.

Module-2

FORCASTING, Objectives and the Materials Organization: Forecasting and Planning, Forecasting Methods,

Objectives of Materials Management, Leadership Style, Materials Planning: Making the Materials Plan Work,

the Materials Cycle and Flow Control System.

Purchasing: Purchasing Principles, Procedures and Practices, Fundamental Objectives of Purchasing - Scope,

Responsibility and Limitations, Sources of Supply and Supplier Selection, Purchasing Policy and Procedures.

Module-3

Purchasing in Materials Management System Concept: -Definition of purchasing terms Negotiation,

Reciprocity, Cost-Plus Contracts, Hedging, Forward Buying, Buying Ethics, Principles and Standards of

Purchasing, Make-or-Buy, Information, Legal Aspects of Purchasing, Law of Agency, Law of Contract, Legal

Status of the Buyer, Warranties and Conditions, Right of Inspection, Right of Rejection, Vendor-Vendee Relations,

Vendor Development, Vendor Rating.

Module-4

Purchasing Capital Equipment, Plant and Machinery: Responsibility and Decision, Purchasing v/s Leasing,

International Buying, Import Purchasing, and Governmental Purchasing: Industrial Needs, Import Procedure

and Documents, Basis of Licensing, Import Purchasing Procedures, Letter of Credit, Income-Tax Clearance,

Customs Tariff-Registration of Licenses at Port. Governmental Purchasing Policy and Procedures, Tenders.

Registration of Firms, Procedure for Registration, Terms of Registration, Removal of the Firms from the List,

Blacklisting of Firms, Banning of Firms.

Inventory Management and Control Systems: Definition of Inventories, The Need for Inventory Audits Control,

Types of Inventories, Inventory Control

Module-5

Q-system or Quantity Control System or Re-order Point System-Effect of Quantity Discounts, P-system or

Periodic Review or Periodic Count System or Replenishment System, Optional Replenishment System or "S, s"

Policy. Discussion on ABC Analysis, advantages and disadvantages. MRP system and MPS system

Materials Management Information System and Computer: MIS - Management and MM, Computer System for

MIS and MM, In-process Materials and Management Control

Course Outcomes: A student will be able to

• Understand the dynamics of Material Management and system approach to materials managements.

• Understand the organization of Material Management.

• Understand applying and analyzing concepts and principles of management in purchasing.

• Understand the requirements for the registration of firms.

• Apply the equation to INV control and analyzing the INV system

Question paper pattern:

• The question paper will have ten full questions carrying equal marks.

• Each full question will be for 20 marks.

• There will be two full questions (with a maximum of four sub- questions) from each module.

• Each full question will have sub- question covering all the topics under a module.

• The students will have to answer five full questions, selecting one full question from each module.

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46

Text Book:

• K. Datta., Materials Management, PHI Pvt. Ltd, New Delhi, 2001.

Reference Book:

• P. Gopalakrishnan, Handbook of Materials Management, PHI Pvt. Ltd, New Delhi, 2002.

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47

B. E. Industrial Engineering & Management

Choice Based Credit System (CBCS) and Outcome Based Education (OBE)

SEMESTER - V

MECHANICAL LAB

Course Code 18IML57 CIE Marks 40

Number of Lecture Hours/Week (L:T:P) 0:2:2 SEE Marks 60

Credits 02 Exam Hours 03

Course Learning Objectives:

• This course will provide a basic understanding of fuel properties and its measurements using various types of

measuring devices

• Energy conversion principles, analysis and understanding of I C Engines will be discussed. Application of these

concepts for these machines will be demonstrated. Performance analysis will be carried out using characteristic

curves.

Experiments:

PART – A

(Individual experiments) Determination of Flash point and Fire point of lubricating oil using Abel Pensky Martins Apparatus

Determination of Calorific value of solid and gaseous fuels.

Determination of Viscosity of a lubricating oil using Redwoods and Say bolts – Viscometers.

PART – B

Group experiments Performance Tests on Four stroke Petrol and Diesel Engines, Calculations of IP, BP, Thermal efficiencies, SFC, FP

and heat balance sheet

Performance Test on Four stroke Petrol - Calculations of IP, BP, Thermal efficiencies, SFC. Multi cylinder petrol /

diesel engine (Morse Test)

Calibration of Venturi meter, Flow through pipes

Performance test on centrifugal and reciprocating pumps

Course Outcomes:

• Perform experiments to determine the properties of fuels and oils.

• Conduct experiments on engines and draw characteristics.

• Test basic performance parameters of I.C. Engine

From part A one question: 30 Marks

From part B one question: 50 Marks

Viva –Voice : 20 Marks

Total : 100 Marks

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48

B. E. Industrial Engineering & Management

Choice Based Credit System (CBCS) and Outcome Based Education (OBE)

SEMESTER - V

WORK STUDY & ERGONOMICS LAB

Course Code 18IML58 CIE Marks 40

Number of Lecture Hours/Week (L:T:P) 0:2:2 SEE Marks 60

Credits 02 Exam Hours 03

Course Learning Objectives:

PART – A METHOD STUDY

Recording Techniques: Preparing the following charts and diagrams (Minimum 3 Charts)

Outline process chart

Multiple Activity Chart

Flow process chart and Flow diagram

String diagram,

Experiments on the Application of principle of motion economy, Two handed process chart. Exercises on

conducting method study for assembling simple components and office work. Development of Layout plans using

SLP technique. Experiments on Line balancing.

PART – B

WORK MEASUREMENT

1. Rating practice using: walking simulator, pin board assembly, dealing a deck of cards

and marble collection activity

2. Determining the standard time for simple operations using stopwatch time study

3. Exercises on estimating standard time using PMTS.

4. Determination of standard time using PDA device and time study software

5. Measurement of parameters (heart beat rate, calorie consumption) using walking simulator

6. Measurement of parameters (heart beat rate, calorie consumption, revolutions per minute) using ergometer

7. Effect of Noise, Light, Heat on human efficiency in work environments.

Course Outcomes:

• Demonstrate the use of tools and techniques of work study and ergonomics.

• To record the activity systematically using different process charts and conduct method study.

• To rate a worker doing varies activities.

• To determine standard time of a job.

• To determine the effect of work on human body and also to determine the effect of noise, light, heat

in work environment on productivity.

From part A one question: 30 Marks

From part B one question: 50 Marks

Viva –Voice : 20 Marks

Total : 100 Marks

REFERENCE BOOKS: 1. ILO, Introduction to work study - III Revised Edition, 1981

2. Motion and Time study - Ralph M Barnes; John Wiley, 8th Edition, 1985.

3. Engineered work Measurement - Wledon, ELBS , 1991

4. Motion and Time study - Marvin E. Mundel-, PHI, 1st edition

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49

B. E. COMMON TO ALL PROGRAMMES

Choice Based Credit System (CBCS) and Outcome Based Education (OBE)

SEMESTER – V

ENVIRONMENTAL STUDIES

Course Code 18CIV59 CIE Marks 40

Teaching Hours / Week (L:T:P) (1:0:0) SEE Marks 60

Credits 01 Exam Hours 02

Module - 1

Ecosystems (Structure and Function): Forest, Desert, Wetlands, Riverine, Oceanic and Lake.

Biodiversity: Types, Value; Hot-spots; Threats and Conservation of biodiversity, Forest Wealth, and

Deforestation.

Module - 2

Advances in Energy Systems (Merits, Demerits, Global Status and Applications): Hydrogen, Solar, OTEC,

Tidal and Wind.

Natural Resource Management (Concept and case-studies): Disaster Management, Sustainable Mining, Cloud

Seeding, and Carbon Trading.

Module - 3

Environmental Pollution (Sources, Impacts, Corrective and Preventive measures, Relevant Environmental

Acts, Case-studies): Surface and Ground Water Pollution; Noise pollution; Soil Pollution and Air Pollution.

Waste Management & Public Health Aspects: Bio-medical Wastes; Solid waste; Hazardous wastes; E-wastes;

Industrial and Municipal Sludge.

Module - 4

Global Environmental Concerns (Concept, policies and case-studies): Ground water depletion/recharging,

Climate Change; Acid Rain; Ozone Depletion; Radon and Fluoride problem in drinking water; Resettlement and

rehabilitation of people, Environmental Toxicology.

Module - 5

Latest Developments in Environmental Pollution Mitigation Tools (Concept and Applications): G.I.S. &

Remote Sensing, Environment Impact Assessment, Environmental Management Systems, ISO14001;

Environmental Stewardship- NGOs.

Field work: Visit to an Environmental Engineering Laboratory or Green Building or Water Treatment Plant or

Waste water treatment Plant; ought to be Followed by understanding of process and its brief documentation.

Course Outcomes: At the end of the course, students will be able to:

• CO1: Understand the principles of ecology and environmental issues that apply to air, land, and water

issues on a global scale,

• CO2: Develop critical thinking and/or observation skills, and apply them to the analysis of a problem

or question related to the environment.

• CO3: Demonstrate ecology knowledge of a complex relationship between biotic and abiotic components.

• CO4: Apply their ecological knowledge to illustrate and graph a problem and describe the realities that

managers face when dealing with complex issues.

Question paper pattern:

• The Question paper will have 100 objective questions.

• Each question will be for 01 marks

• Student will have to answer all the questions in an OMR Sheet.

• The Duration of Exam will be 2 hours.

Sl. No. Title of the Book Name of the

Author/s Name of the Publisher

Edition and

Year

Textbook/s

1 Environmental Studies Benny Joseph Tata Mc Graw – Hill.

2ndEdition, 2012

2. Environmental Studies S M Prakash Pristine Publishing House,

Mangalore

3rdEdition, 2018

3 Environmental Studies –

From Crisis to Cure

R Rajagopalan Oxford Publisher 2005

Reference Books

1 Principals of Environmental Raman Sivakumar Cengage learning, 2ndEdition, 2005

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50

Science and Engineering Singapur.

2 Environmental Science –

working with the Earth

G.Tyler Miller Jr. Thomson Brooks /Cole,

11thEdition, 2006

3 Text Book of Environmental

and Ecology

Pratiba Sing,

Anoop Singh&

Piyush Malaviya

Acme Learning Pvt. Ltd.

New Delhi.

1stEdition

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51

B. E. Industrial Engineering & Management

Choice Based Credit System (CBCS) and Outcome Based Education (OBE)

SEMESTER - VI

SIMULATION MODELING AND ANALYSIS

Course Code 18IM61 CIE Marks 40

Number of Lecture Hours/Week (L:T:P) 3:2:0 SEE Marks 60

Credits 04 Exam Hours 03

Course Learning Objectives:

1. Define basic concepts of simulation modelling and replicating the practical situations in organizations.

2. Generate and test random number variates using different techniques and apply them to develop simulation

models.

3. Analyse and interpret output data produced by a model, and test validity of the model.

Module-1

Introduction to Simulation: Simulation, advantages & disadvantages, Areas of application, System environment,

Components of a system, Model of a system, Types of models, steps in a simulation study.

Simulation Examples: Simulation of Queuing systems, simulation of Inventory System

Tutorial: Case study discussion on Queuing systems and Inventory System

Module-2

General Principles: Concepts in discrete events simulation, event scheduling/Time advance algorithm, simulation

using event scheduling.

Random Numbers: Properties, Generations methods, Tests for Random Number-Frequency test, Runs test, Gap

Test, Poker Test

Tutorial: Additional Problems on event scheduling.

Module-3

Random Variate Generation: Inverse Transform Technique-Exponential, Uniform, Weibull, Triangular

distributions, direct transformation for Normal and log normal Distributions, convolution methods-Erlang

distribution, Acceptance – Rejection Techniques – Poisson distribution

Tutorial: Additional Problems on Acceptance – Rejection Techniques

Module-4

Analysis of Simulation Data: Input Modelling: Data collection, Identification and distribution with data, parameter

estimation, Goodness of fit tests, Selection of input models without data, Multivariate and time series analysis

Verification and Validation of Model – Model Building, Verification, Calibration and Validation of Models.

Output Analysis: Stochastic Nature of output data, Measures of Performance and their estimation.

Tutorial: Case study on discussion on testing for goodness of fit.

Module-5

Optimization via Simulation: Meaning, Difficulty, Robust Heuristics, Random Search Applications: Simulation of

Manufacturing and Material Handling Systems, Simulation of Computer Systems

Simulation Softwares: Selection of Simulation Software, Simulation packages, Experiment and Statistical Analysis

tool, Trend in Simulation Software

Tutorial: Discussion of features of recent simulation packages.

Course Outcomes: CO1: Construct a model for a given set of data and motivate its validity.

CO2: Experiment with real-world situations related to systems development decisions, originating from source

requirements and goals.

CO3: Examine the behaviour of a dynamic system and create an analogous model.

CO4: Examine the behaviour of a dynamic system and create an analogous model.

CO5: Interpret the results and apply it to solve real-world problem.

Question paper pattern:

• The question paper will have ten full questions carrying equal marks.

• Each full question will be for 20 marks.

• There will be two full questions (with a maximum of four sub- questions) from each module.

• Each full question will have sub- question covering all the topics under a module.

• The students will have to answer five full questions, selecting one full question from each module.

Text Books:

Discrete Event system Simulation – Jerry Banks, John S Carson, II, Berry L Nelson, David M Nicol - Pearson

Education, Asia - III Edition, ISBN - 81- 7808 – 505 - 4.

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52

Reference Books:

1. Systems Simulation with Digital Computer –NarsinghDeo-PHI Publication (EEE), ISBN – 0-87692-028-8.

2. Simulation Modelling & Analysis – Averill M Law, W David Kelton - McGraw Hill International Editions –

Industrial Engineering series, ISBN – 0-07-100803-9.

3. System Simulation - Geoffrey Gordon - Prentice Hall publication, 2nd Edition, 1978, ISBN:81-203-0140-4.

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53

B. E. Industrial Engineering & Management

Choice Based Credit System (CBCS) and Outcome Based Education (OBE)

SEMESTER - VI

OPERATIONS MANAGEMENT

Course Code 18IM62 CIE Marks 40

Number of Lecture Hours/Week (L:T:P) 3:2:0 SEE Marks 60

Credits 04 Exam Hours 03

Course Learning Objectives:

• Importance of operations management. Able to forecast the demand for production sector.

• Solve problems using appropriate techniques of forecast.

• Study the decision methodology, understand Economic models, and statistical models Understand the

aggregate planning and master scheduling methods.

• Determine MRP and CRP to run the manufacturing and service sectors without interruption.

• Formulate the optimum scheduling strategies and methods.

Module-1

Operation Management Concepts: Introduction, Factors affecting productivity, Physical and information flows in

a production system. The environment of operations, Historical development of production systems, Contributions

of James Watt, Charles Babbage, Robert Owen, Thomas Alva Edition, Frederick Winslow Taylor, Henry Ford in

development of production systems. The trend: Information and Non- manufacturing systems.

Module-2

Forecast demand: Introduction, Forecasting objectives, Forecasting variables, how forecasting methods are

classified, explain opinion and judgmental methods, market trials method, Delphi technique, nominal group

technique, components of time series, Problems on simple moving average, Weighted moving average, Simple

(Single) exponential smoothing method, Regression and correlation method.

Module-3

Operations decision making: Introduction, Management as a science, Characteristics of decisions, framework for

decision making, decision methodology, decision support systems, economic models, and statistical probability

model.

Aggregate Planning and Master scheduling: Introduction, Flow chart of Aggregate plan and master schedule,

Aggregate planning guidelines, aggregate planning methods, Master scheduling objectives, Master scheduling

methods.

Module-4

Materials and capacity requirements planning: Overview: MRP and CRP, MRP: Underlying concepts, System

parameters, MRP logic, System refinements, Capacity management, CRP activities,

Scheduling and controlling activities: Introduction, PAC, Objectives and Data requirements, Scheduling strategy

and guide lines, Scheduling methodology, priority control, capacity control.

Module-5

Single machine scheduling: Concept, measures of performance, SPT rule, Weighted mean flow time, EDD rule,

minimizing the number of tardy jobs.

Flow- shop scheduling: Introduction, Johnson’s rule for ‘n’ jobs on 2 and 3 machines, CDS heuristic.

Job –shop scheduling: Types of schedules, and scheduling 2 jobs on ‘m’ machines and problems by graphical

method.

Course Outcomes:

• Apply the concepts of operations management by knowing the Historical development, Physical and

information flows in a production system, and contribution of James Watt, Charles Babbage, Robert Owen,

Thomas Alva Edition, Frederick Winslow Taylor, Henry Ford in development of production systems.

• Solve problems using appropriate techniques of forecast.

• Apply models used in decision making, Recognize and apply basic appropriate analytical techniques related

to, aggregate planning / master scheduling.

• Explain the effects of the evolution of MRP, Evaluate single machine scheduling and Flow shop scheduling.

Question paper pattern:

• The question paper will have ten full questions carrying equal marks.

• Each full question will be for 20 marks.

• There will be two full questions (with a maximum of four sub- questions) from each module.

• Each full question will have sub- question covering all the topics under a module.

• The students will have to answer five full questions, selecting one full question from each module.

TEXT BOOKS

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54

1. Operations Management- Monks. J.G.- McGraw-Hill International Editions-1987.

2. Production and Operation Management- Paneerselvam. R-PHI- 2nd

edition.

REFERENCE BOOKS:

1. Modern Production/ Operation Management- Buffa- Wiely India Ltd. – 4th edition.

2. Production and Operations Management- Chary. S. N – Tata McGraw Hill.- 3rd

edition

3. Production and Operation Management- Adam and Ebert, PHI, 5th edition Financial Accounting and

Costing.

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55

B. E. Industrial Engineering & Management

Choice Based Credit System (CBCS) and Outcome Based Education (OBE)

SEMESTER - VI

DATA ANALYTICS FOR ENGINEERS

Course Code 18IM63 CIE Marks 40

Number of Lecture Hours/Week (L:T:P) 3:2:0 SEE Marks 60

Credits 04 Exam Hours 03

Course Learning Objectives:

Understand data input and accessing data using R

Representation of data in graphical form

Analyzing data using probability and statistics

Inference of data using correlation and regression analysis.

Module-1

Introduction to R: Introduction R as a statistical software and language, R as a calculator, R preliminaries,

Methods of data input, Data accessing or indexing, Some useful built-in functions, Graphics with R, Getting help,

saving, storing and retrieving work, Exercises and solutions to exercises.

Module-2

Descriptive Statistics: Introduction, Diagrammatic representation of data, Graphical representation of data,

Measures of central tendency, dispersion, skewness and kurtosis, Selection of representative samples, Exercises and

solutions to exercises.

Module-3

Probability and probability distributions: Introduction, Probability: Definitions and properties, probability

distributions, some special discrete distributions, continuous distributions, Exercises and solutions to exercises.

Module-4

Statistical Inference: Introduction, Sampling distribution of sample mean, Estimation of parameters, Plots to check

normality, Hypothesis testing, Goodness of fit tests, Exercises and solutions to exercises.

Module-5

Correlation and Regression analysis: Introduction, Correlation, Inference procedures for correlation coefficient,

Linear regression, Inference procedure for simple linear model, validation of linear regression model,

Transformation of the variables, Polynomial regression models, Exercises and solutions to exercises.

Course Outcomes: At the end of the course, the student will be able to:

CO1: Make use of various data analysis techniques and derive conclusions.

CO2: Make use of descriptive and inferential statistical techniques for data analysis.

CO3: Perform exploratory data analysis on a given set of data including visualization techniques.

CO4: Build regression models and use them for prediction.

CO5: Build time series models and use them for prediction.

Question paper pattern:

• The question paper will have ten full questions carrying equal marks.

• Each full question will be for 20 marks.

• There will be two full questions (with a maximum of four sub- questions) from each module.

• Each full question will have sub- question covering all the topics under a module.

• The students will have to answer five full questions, selecting one full question from each module.

Text Books:

1. Statistics using R, Sudha G. Purohit, Sharad D. Gore and Shailaja R. Deshmukh, Narosa Publications, second

edition -2015.

Reference Books: 1. “R for Data Science”, Dan Toomey, PACKT Publishing, 2014.

2. “Practical Data Science wit R”, Nina Zumel, John Mount, Manning Publications, 2014.

3. “Building a recommendation System with R”, Suresh R Gorakala, Michelle Usuelli, PACKT Publishing,

2015.

4. “Learning Predictive Analytics with R”, Eric Mayor, PACKT Publishing, 2015.

5. “Data Analytics with Open Source Tools”, Philip K Janert, O’Reilly, 2010.

6. “Data Mining: Concepts and Techniques”, Jiawei Han, Micheline Kamber, Jian Pei, The Morgan Kaufmann

Series in Data Management Systems, 3rd Edition, 2011.

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56

B. E. Industrial Engineering & Management

Choice Based Credit System (CBCS) and Outcome Based Education (OBE)

SEMESTER - VI

FINANCIAL ACCOUNTING AND COSTING

Course Code 18IM641 CIE Marks 40

Number of Lecture Hours/Week (L:T:P) 3:0:0 SEE Marks 60

Credits 04 Exam Hours 03

Course Learning Objectives: understand the basic concepts and processes used to determine product costs

• To be able to interpret cost accounting statements

• To be able to analyze and evaluate information for cost ascertainment, planning, control and decision

making.

• To be able to solve simple cases.

Module-1

FINANCIAL ACCOUNTING: Introduction to Book keeping: double-entry accounting, journal & ledger posting.

FINANCIAL STATEMENTS & ANALYSIS: Trial balance, preparation of Trading and Profit & Loss account,

and Balance sheet.

Module-2

RATIO ANALYSIS: Balance sheet ratio’s, profit – loss account ratio’s, and combined ratio’s.

Module-3

COSTING: Objectives of costing, Elements of costing, methods of costing preparation of cost sheet (job costing)

Process costing, Marginal costing and absorption costing.

Module-4

STANDARD COSTING: Material, labour, overhead cost variance.

ACTIVITY BASED COSTING: Target Costing, Activity Based Costing and management

WORKING CAPITAL MANAGEMENT: Factors influencing working capital requirement, determination of

operating cycle and working capital

Module-5

Budgeting: Sales budget, production budget, raw materials purchasing budget, selling and administrative expense

budget, cash budget, Flexible Budget & Master budget.

Course Outcomes:

• Demonstrate knowledge of basic accounting techniques and preparation of journal, ledger and final

statements of accountancy. Judge the financial strength of the firm through ratio analysis and understands

the principle of costing.

• Practice and enhanced the knowledge on costing through techniques like process costing, marginal costing

and standard costing.

• Calculate working capital requirement and learn to prepare budget for effective financial control of an

organization.

Question paper pattern:

• The question paper will have ten full questions carrying equal marks.

• Each full question will be for 20 marks.

• There will be two full questions (with a maximum of four sub- questions) from each module.

• Each full question will have sub- question covering all the topics under a module.

• The students will have to answer five full questions, selecting one full question from each module.

Text Books: 1 Cost Accounting-Khan M Y and Jain P K, Tata Mc Graw hill

2 Financial Managemen- Prassana Chandra, Tata Mc Graw Hill

3 Management Accounting & costing Prasad N K

4 Financial Management & costing- James C Vanhorne, Pearson Education

Reference Books: 1 Elements of Accountancy B S Raman

2 Practical Costing- Ahuja, Pandey, Khanna and Arora, S Chand & Co

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57

B. E. Industrial Engineering & Management

Choice Based Credit System (CBCS) and Outcome Based Education (OBE)

SEMESTER - VI

HUMAN RESOURCE MANAGEMENT

Course Code 18IM642 CIE Marks 40

Number of Lecture Hours/Week (L:T:P) 3:0:0 SEE Marks 60

Credits 03 Exam Hours 03

Credits – 03

Course Learning Objectives:

1. To understand the HRM concepts and theory.

2. To obtain an overview of various HRM functions and practices.

3. To gain an insight into the various statutory provisions.

Module-1

INTRODUCTION: Evolution of HRM, Objectives, Functions and Policies.

HUMAN RESOURCE PLANNING: Uses and benefits, Man Power Inventory, Man Power Forecasting, Methods of

Man Power Forecasting, job Description, Job Specification.

Module-2

RECRUITMENT: Sources of Man power, Advertisement, Short Listing of Candidates calling Candidates for

selection Process.

SELECTION: Selection procedure – Written Test, Group Discussion. Interview – Different methods, advantages and

limitations, Psychological testing – Advantages and limitations, Induction procedure, transfers, promotion, exit

interview, (Tutorial on written test, Group Discussion, Interviews)

Module-3

TRAINING AND DEVELOPMENT: Identification of Training needs, Training Evaluation, Training Budget,

Executive Development – Different Approaches, Non-executive development – Different methods.

PERFORMANCE APPRAISAL: Components (all round performance appraisal), Methods. Advantages and

limitations of different methods, Personal Counselling based on Annual Confidential Reports

Module-4

COUNSELLING AND HUMAN RESOURCE ACCOUNTING: Characteristics, Need, Function, Types,

Suggestions for personnel development, communication function, communication process, effective communication.

Human resource records, Advantages of HR accounting, Various methods of accounting.

Module-5

INDUSTRIAL RELATIONS: Indian trade union act, standing orders act, Indian factories act.

INDUSTRIAL DISPUTES AND SETTLEMENT: Indian Industrial Disputes act, Industrial disputes settlement

machinery. Works committee, Board of Conciliation, Voluntary Arbitration, Compulsory arbitration, Court of

inquiry, Industrial tribunal, Adjudication.

Course Outcomes: 1. Synthesize information regarding the effectiveness of recruiting methods & selection procedures

2. Identify the various training methods and design a training program

3. Design a job description and job specification for various levels of employees.

4. List out the regulations governing employee benefit practices.

Question paper pattern:

• The question paper will have ten full questions carrying equal marks.

• Each full question will be for 20 marks.

• There will be two full questions (with a maximum of four sub- questions) from each module.

• Each full question will have sub- question covering all the topics under a module.

• The students will have to answer five full questions, selecting one full question from each module.

TEXT BOOKS:

1. Human Resources Management – Dr. K Ashwathappa – Tata McGraw Hill - Edition 1999.

2. Management of Human Resources – CB Mamoria – Himalaya Publication House – 2003.

Reference Books: 1. Personnel / Human resource Management – Decenoz and robbins- PHI - 2002

2. Industrial Relations – ArunMonappa – TMH - ISBN – 0-07-451710-8.

3. Human Resources Management – VSP Rao

4. Human Resources Management – Ravi Dharma Rao

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58

B. E. Industrial Engineering & Management

Choice Based Credit System (CBCS) and Outcome Based Education (OBE)

SEMESTER - VI

MANAGEMENT INFORMATION SYSTEMS

Course Code 18IM643 CIE Marks 40

Number of Lecture Hours/Week (L:T:P) 3:0:0 SEE Marks 60

Credits 03 Exam Hours 03

Course Learning Objectives:

1. Introduce various aspects of MIS as applied to engineering problems in a systematic manner.

2. Impart the knowledge of fundamentals of data base, business applications.

Module-1

Fundamentals of Information Systems: Information systems in business, fundamentals of information systems

solving business problems with information systems.

Module-2

Information Systems for Business Operations: Business information systems, Transaction processing systems,

management, information systems and decision support systems. Artificial intelligence technologies in business,

information system for strategic applications and issues in information technology.

Module-3

Issues in Managing Information Technology: Managing information resources and technologies global information

technology, management, planning and implementing change, integrating business change with IT, security and

ethical challenges in managing IT, social challenges of information technology

Module-4

E-Business Model: E-commerce frame work, Architectural frame work for e-commerce, Application services and

transaction, Models – B2C Transactions, B2B Transactions, Intra-Organizational Transactions, WWW Architecture:

Client server structure of the web, e-Commerce architecture, Technology behind the web.

Module-5

Consumer Oriented E-Commerce: Consumer oriented Application: Finance and Home Banking, Home shopping,

Home Entertainment, Mercantile Process Models, Consumers perspective, Merchants perspective. Electronics Data

Interchange (EDI): EDI Concepts, Applications in business – components of international trade, Customs Financial

EDI, Electronic fund transfer, Manufacturing using EDI, Digital Signatures and EDI.

Course Outcomes: 1. To understand fundamentals of MIS and be able to compare it with other approaches.

2. Identify and utilize fundamentals of data base management as applied to the respective tasks.

3. Demonstrate the ability to define and formulate the properties and characteristics of data base management by any

engineer.

Question paper pattern:

• The question paper will have ten full questions carrying equal marks.

• Each full question will be for 20 marks.

• There will be two full questions (with a maximum of four sub- questions) from each module.

• Each full question will have sub- question covering all the topics under a module.

• The students will have to answer five full questions, selecting one full question from each module.

Text Books: Management Information systems – managing information technology in the internet worked enterprise – jams. A

O’Brien – Tata McGraw Hill publishing company limited – 2002. 2. Management Information Systems – Laaudon &

Laudon – PHI – ISBN 81-203-1282-1.1998.

Reference Books:

Management Information systems – S. Sadogopan. – PHI – 1998Edn. ISBN 81-203-1180-9. 2. Information systems

for modern management – G.R. Murdick – PHI – 2nd Edition.

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59

B. E. Industrial Engineering & Management

Choice Based Credit System (CBCS) and Outcome Based Education (OBE)

SEMESTER - VI

DATA BASE MANAGEMENT SYSTEM

Course Code 18IM644 CIE Marks 40

Number of Lecture Hours/Week (L:T:P) 3:0:0 SEE Marks 60

Credits 03 Exam Hours 03

Credits – 03

Course Learning Objectives:

The objective of the course is to present an introduction to database management systems, with an emphasis on

how to organize, maintain and retrieve - efficiently, and effectively - information from a DBMS.

Module-1

DATABASES AND DATABASE USERS: Introduction, characteristics of data base approach, intended uses of

a DBMS, advantages and implication of database approach.

DATABASE SYSTEMS CONCEPTS AND ARCHITECTURE: Data models, Schemas and instances,

DBMS architecture and data independence, database languages and interfaces, database system environment,

classification of data base management systems.

Module-2

DATA MODELING: High level conceptual data models for database design. Entity types, entity sets,

attributes, and keys. Relationships, relationship types, roles and structural constraints. Weak entity types. ER

diagrams

RECORD STORAGE AND PRIMARY FILE ORGANIZATION: Secondary storage devices, buffering of

blocks, placing file records on disk, operations on files, heap files and sorted files, hashing techniques.

Module-3

INDEX STRUCTURE OF FILES: Single-level and multilevel ordered indexes, dynamic multi level indices

using B-trees and B+ trees.

RELATIONAL DATA MODEL AND RELATIONAL ALGEBRA: Brief discussion on Codd rules,

relational model concepts, constraints and schemas. Update operation on relations, basic and additional relational

algebra operations and queries in relational algebra.

Module-4

Structured Query Language (SQL): Data definition in SQL2. Basic and complex queries in SQL. Insert,

delete, update statements, and views in SQL, embedded SQL.

DATABASE DESIGN: Design guidelines for relational schemes, functional Dependencies, normalization -1st,

2nd, 3rd, 4th, and 5th normal forms. Database design process, factors influencing physical database design

guidelines and guidelines for relational systems.

Module-5

SYSTEM IMPLEMENTATION: System cat log for RDBMS, transaction processing and system concepts,

properties of transactions, brief discussion on concurrency, control and recovery techniques, database security

and authorization.

Course Outcomes: Upon successful completion of this course, students should be able to:

• Describe the fundamental elements of relational database management systems

• Explain the basic concepts of relational data model, entity-relationship model, relational database design,

relational algebra and SQL.

• Design ER-models to represent simple database application scenarios

• Convert the ER-model to relational tables, populate relational database and formulate SQL queries on data.

• Improve the database design by normalization.

• Familiar with basic database storage structures and access techniques: file and page organizations, indexing

methods including B tree, and hashing.

Question paper pattern:

• The question paper will have ten full questions carrying equal marks.

• Each full question will be for 20 marks.

• There will be two full questions (with a maximum of four sub- questions) from each module.

• Each full question will have sub- question covering all the topics under a module.

• The students will have to answer five full questions, selecting one full question from each module.

Text Books:

1. Fundamentals of database systems -Ramez Elmasri and Shamkanth B. Navathe - Addison Wesley

Publishing Company - 6th Edition.

2. Database Management System - Raghu Ramakrishnan and Johannes Gehrke - TATA McGraw Hill -

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60

3rd Edition - ISBN 0-07-1231511

Reference Books:

1. Database Management Design - Gary W. Hansen and James V. Hanesn - PHI Pvt. Ltd. - 2nd

Edition.

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61

B. E. Industrial Engineering & Management

Choice Based Credit System (CBCS) and Outcome Based Education (OBE)

SEMESTER - VI

Course Code 18IM651 CIE Marks 40

Number of Lecture Hours/Week (L:T:P) 3:0:0 SEE Marks 60

Credits 03 Exam Hours 03

Credits – 03

Course Learning Objectives:

1. Will be able to understand about value

2. Can adopt functional approach in identifying unnecessary cost in a product

3. Can apply the value methodology

4. Can analysis value of the product and service and apply VA/VE technique to increase the value

Module-1

INTRODUCTION TO VALUE ANALYSIS: Definition of Value, Value Analysis, Value Engineering, Value

management, Value Analysis versus Value Engineering, Value Analysis versus Traditional cost reduction

techniques, uses, Applications, advantages and limitations of Value analysis. Symptoms to apply value analysis,

Coaching of Champion concept.

TYPE OF VALUES: Reasons for unnecessary cost of product, Peeling cost Onion concept, unsuspected areas

responsible for higher cost, Value Analysis Zone, attractive features of value analysis. Meaning of Value, types of

value & their effect in cost reduction. Value analysis procedure by simulation.

Detailed case studies of simple products

Module-2

FUNCTIONAL COST AND ITS EVALUATION: Meaning of Function and Functional cost, Rules for

functional definition, Types of functions, primary and secondary functions using verb and Noun, Function

evaluation process, Methods of function evaluation. Evaluation of function by comparison, Evaluation of

Interacting functions, Evaluation of function from available data, matrix technique, MISS technique, Numerical

evaluation of functional relationships and case studies.

PROBLEM SETTING & SOLVING SYSTEM: A problem solvable stated is half solved, Steps in problem

setting system, Identification, Separation and Grouping of functions. Case studies.

PROBLEM SETTING & SOLVING SYSTEM: Goods system contains everything the task requires. Various steps

in problem solving, case studies.

Module-3

VALUE ENGINEERING JOB PLAN: Meaning and Importance of Value Engineering Job plan. Phases of job

plan proposed by different value engineering experts, Information phase, Analysis phase, Creative phase,

Judgment phase, Development planning phase, and case studies. Cost reduction programs, criteria for cost

reduction program, Value analysis change proposal.

Module-4

VALUE ENGINEERING TECHNIQUES: Result Accelerators or New Value Engineering Techniques, Listing,

Role of techniques in Value Engineering, Details with Case examples for each of the Techniques.

ADVANCED VALUE ANALYSIS TECHNIQUES: Functional analysis system technique and case studies,

Value analysis of Management practice(VAMP), steps involved in VAMP, application of VAMP to Government,

University, College, Hospitals, School Problems etc., (service type problems).

TOTAL VALUE ENGINEERING: Concepts, need, Methodology and benefits.

Module-5

APPLICATION OF VALUE ANALYSIS: Application of Value analysis in the field of Accounting, Appearance

Design, Cost reduction, Engineering, manufacturing, Management, Purchasing, Quality Control, Sales, marketing,

Material Management Etc., Comparison of approach of Value analysis & other management techniques.

Course Outcomes: After the completion of the course, a student will

1. Able to understand the importance of value of a product

2. Find out unnecessary cost/ function involved in the product

3. Conduct value engineering methodology

4. Do value analysis using advanced value engineering techniques

5. Become a certified value engineer with additional course /training

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62

Question paper pattern:

• The question paper will have ten full questions carrying equal marks.

• Each full question will be for 20 marks.

• There will be two full questions (with a maximum of four sub- questions) from each module.

• Each full question will have sub- question covering all the topics under a module.

• The students will have to answer five full questions, selecting one full question from each module.

Text Books:

1. Techniques of Value Analysis and Engineering– Lawrence D. Miles, McGraw – Hill Book Company, 2ndEdn.

2.Value engineering for Cost Reduction and Product Improvement – M.S. Vittal, Systems Consultancy Services

Edn 1993

3.Value Management, Value Engineering and Cost Reduction – Edward D Heller Addison Wesley Publishing

Company 1971

Reference Books:

1.Value Analysis for Better Management – Warren J Ridge American Management Association Edn 1969

2. Getting More at Less Cost (The Value Engineering Way) – G.Jagannathan Tata Mcgraw Hill Pub. Comp. Edn

1995

3.Value Engineering – Arther E Mudge McGraw Hill Book Comp. Edn 1981

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63

B. E. Industrial Engineering & Management

Choice Based Credit System (CBCS) and Outcome Based Education (OBE)

SEMESTER - VI

DATA ANALYTICS FOR ENGINEERS

Course Code 18IM652 CIE Marks 40

Number of Lecture Hours/Week (L:T:P) 3:0:0 SEE Marks 60

Credits 03 Exam Hours 03

Course Learning Objectives:

Understand data input and accessing data using R

Representation of data in graphical form

Analyzing data using probability and statistics

Inference of data using correlation and regression analysis.

Module-1

Introduction to R: Introduction R as a statistical software and language, R as a calculator, R preliminaries,

Methods of data input, Data accessing or indexing, Some useful built-in functions, Graphics with R, Getting

help, saving, storing and retrieving work, Exercises and solutions to exercises.

Module-2

Descriptive Statistics: Introduction, Diagrammatic representation of data, Graphical representation of data,

Measures of central tendency, dispersion, skewness and kurtosis, Selection of representative samples,

Exercises and solutions to exercises.

Module-3

Probability and probability distributions: Introduction, Probability: Definitions and properties, probability

distributions, some special discrete distributions, continuous distributions, Exercises and solutions to

exercises.

Module-4

Statistical Inference: Introduction, Sampling distribution of sample mean, Estimation of parameters, Plots to

check normality, Hypothesis testing, Goodness of fit tests, Exercises and solutions to exercises.

Module-5

Correlation and Regression analysis: Introduction, Correlation, Inference procedures for correlation

coefficient, Linear regression, Inference procedure for simple linear model, validation of linear regression

model, Transformation of the variables, Polynomial regression models, Exercises and solutions to exercises.

Course Outcomes: At the end of the course, the student will be able to:

CO1: Make use of various data analysis techniques and derive conclusions.

CO2: Make use of descriptive and inferential statistical techniques for data analysis.

CO3: Perform exploratory data analysis on a given set of data including visualization techniques.

CO4: Build regression models and use them for prediction.

CO5: Build time series models and use them for prediction.

Question paper pattern:

• The question paper will have ten full questions carrying equal marks.

• Each full question will be for 20 marks.

• There will be two full questions (with a maximum of four sub- questions) from each module.

• Each full question will have sub- question covering all the topics under a module.

• The students will have to answer five full questions, selecting one full question from each module.

Text Books:

1“Statistics using R”, Sudha G. Purohit, Sharad D. Gore and Shailaja R. Deshmukh, Narosa

Publications, second edition -2015.

Reference Books:

1. “R for Data Science”, Dan Toomey, PACKT Publishing, 2014.

2. “Practical Data Science wit R”, Nina Zumel, John Mount, Manning Publications, 2014.

3. “Building a recommendation System with R”, Suresh R Gorakala, Michelle Usuelli, PACKT

Publishing, 2015.

4. “Learning Predictive Analytics with R”, Eric Mayor, PACKT Publishing, 2015.

5. “Data Analytics with Open Source Tools”, Philip K Janert, O’Reilly, 2010.

6. “Data Mining: Concepts and Techniques”, Jiawei Han, Micheline Kamber, Jian Pei, The Morgan

Kaufmann Series in Data Management Systems, 3rd

Edition, 2011.

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64

B. E. Industrial Engineering & Management

Choice Based Credit System (CBCS) and Outcome Based Education (OBE)

SEMESTER - VI

ENGINEERING ECONOMY

Course Code 18IM653 CIE Marks 40

Teaching Hours/Week (L:T:P) (3:0:0) SEE Marks 60

Credits 03 Exam Hours 03

Course Learning Objectives:

• Define the fundamentals of engineering economics.

• Explain the concepts of decision making, problem solving, and comparison of the alternatives

• Demonstrate the understanding of concept depreciation and replacement analysis.

• Illustrate concept of money and its importance in evaluating the engineering projects.

• Evaluate the alternatives based on the present annual worth and equivalent annual worth methods.

Module-1

Introduction: Engineering decision – makers, engineering and economics, problem solving, intuition and analysis,

tactics and strategy with an example.

Interest and Interest Factors: Interest rate, simple interest compound interest, interest formulae, time value

equivalence exercises, problems and discussion.

Module-2

Present Worth Comparison: Conditions for present worth comparisons, rule 72, basic present worth

comparisons, present worth equivalence, net present worth, assets with equal and unequal lives, comparison of

assets assume to have infinite lives, exercises and problems.

Module-3

Equivalent Annual Worth Comparisons: Situations for equivalent annual worth comparison, net annual worth

of a single project, comparison of net annual worth’s definitions of asset life, comparison of assets with equal and

unequal lives, exercises and problems.

Module-4

Depreciation: Introduction, methods of depreciation, problems.

Replacement Analysis: Reasons- Deterioration, obsolescence, inadequacy, replacement criteria problems.

Module-5

Estimating and Costing: components of costs such as direct material cost, direct labor cost, Fixed, over – heads,

factory costs, administrative – overheads, first cost, selling price, calculation of the total cost of various

components, mensuration, estimation of simple components

Course Outcomes: At the end of the course the student will be able to:

6. Demonstrate the importance of Engineering Economy in engineering decision making.

7. Compare the various alternatives based on economy fundamentals.

8. Compare of asset life using net annual worth - assets with equal and unequal lives.

9. Apply concepts of depreciation and find the value of assets. Demonstrate skills in replacement

decisions.

10. Estimate the cost of engineering operations and processes by determining the elements of cost.

Question paper pattern:

• The question paper will have ten full questions carrying equal marks.

• Each full question will be for 20 marks.

• There will be two full questions (with a maximum of four sub- questions) from each module.

• Each full question will have sub- question covering all the topics under a module.

• The students will have to answer five full questions, selecting one full question from each module.

Sl No Title of the Book Name of the

Author/s Name of the Publisher Edition and Year

Textbook/s

1 Engineering Economy Riggs J.L McGraw Hill, 2002

2 Engineering Economy NVR. Naidu,

KM Babu and

New Age InternationalPvt.

Ltd

2006.

Reference Books

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65

3 Engineering Economy Theusen.G PHI, 2002

4 Financial Management I M Pandey Vikas Publishing House 2002.

5 Engineering Economy Paul Degarmo Macmillan Pub, Co. 2001

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66

B. E. Industrial Engineering & Management

Choice Based Credit System (CBCS) and Outcome Based Education (OBE)

SEMESTER - VI

DATA ANALYTICS LAB

Course Code 18IML66 CIE Marks 40

Number of Tutorial/Practical/Week (L:T:P) 0:2:2 SEE Marks 60

Credits 02 Exam Hours 03

Course Learning Objectives:

• To understand and summarize the data-sets numerically and graphically.

• To select appropriate probability distribution for a given situation and test its goodness of fit.

• To make estimates and inferences using the software and take decisions in the presence of uncertainty.

• To identify the magnitude and direction of relationship between the independent and dependent variables.

Experiments: 1. Exercises on reading data from files and working with datasets

2. Exercises on basic built-in functions, plots, storing and retrieving data (At least one problem on each of

the functions).

3. Exercises on diagrammatic and graphical representation of data.

4. Exercises on measures of central tendency and dispersion.

5. Exercises on skewness and kurtosis

6. Exercises on continuous probability distribution.

7. Exercises on discrete probability distribution.

8. Exercises on hypothesis testing one single population mean.

9. Exercises on normality test.

10. Exercises on goodness of fit (Normal, Binominal, Poisson distribution, uniform distribution).

11. Exercises on correlations and regression analysis.

12. Writing simple programs in R

Suggested software packages: R studio

Course Outcomes: CO1: Examine and present the real-time data in appropriate form.

CO2: Choose suitable probability distribution for a given situation and test its goodness of fit.

CO3: Formulate the hypothesis by arriving at estimates and inferences to make decisions in uncertainty.

CO4: Perform correlation and regression analysis and draw inferences.

Any 2 questions from the exercise given above: 40 marks for each question

Viva –Voice : 20 Marks

Total : 100 Marks

TEXT BOOKS: 1. Douglas C. Montgomery, George C. Runger, Norma F. Hubele, “Engineering Statistics”, John Wiley

and Sons, 5th Edn, ISBN-13: 978-0470631478 ISBN-10: 0470631473 year: 2010.

2. “Statistics using R”, Sudha G. Purohit, Sharad D. Gore and Shailaja R. Deshmukh, Narosa

Publications, second edition -2015.

3. “R for Data Science”, Dan Toomey, PACKT Publishing, 2014.

4. “Practical Data Science wit R”, Nina Zumel, John Mount, Manning Publications, 2014.

5. “Building a recommendation System with R”, Suresh R Gorakala, Michelle Usuelli, PACKT

Publishing, 2015.

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67

B. E. Industrial Engineering & Management

Choice Based Credit System (CBCS) and Outcome Based Education (OBE)

SEMESTER - VI

QUALITY ENGINEERING LAB

Course Code 18IML67 CIE Marks 40

Number of Lecture Hours/Week (L:T:P) 0:2:2 SEE Marks 60

Credits 02 Exam Hours 03

Course Learning Objectives:

• Measure need to improve the quality of a process.

• Quantitative technique used for identifying and reducing the deviation of a product quality.

• Reliability of machine and effect of failure.

PART – A To test the Goodness of fit for the given quality characteristic using: Uniform distribution, Binomial

distribution, Poisson distribution & Normal distribution.

Conduction of Repeatability and Reproducibility studies for appraiser and instrument using R&R Software

Assessing Process Capability of the given manufacturing process using Normal Probability paper method and

process capability indices

Assessing Process Capability of the given manufacturing process using Digital Motorized Multifunctional

Height Gauge and SQC Display unit

PART – B

1. Experiments on Application of 7 QC Tools as applied to Manufacturing and Service Operations.

2. Construction of control chart for variable quality characteristic using

3. Digital Motorized Multifunctional Height Gauge

4. SQC Display unit

5. SQC/SPC software

6. Construction of control chart for attribute quality characteristic

7. Construction of control charts using SYSTAT Software

8. Attribute sampling Plans – Single, Double and Multiple sampling plans.

9. Experiments on correlation and Simple linear regressions

10. Experiments on multiple linear regressions

11. Conduction of Design of Experiments – Full Factorial approach for the given quality characteristic for

machining operations.

12. Exercises to demonstrate Taguchi’s Orthogonal Array technique through DOE software.

13. Exercises on FMEA and Reliability

14. Exercises on QFD

Course Outcomes: At the end of this course, the students will be able to;

• Explain the procedure for conducting the Chi-square test for discrete distribution and continuous

distribution data.

• Predict the process stability and capability using attribute and variable control charts for the data

obtained from manufacturing process.

• Apply the DOE, Reliability, Repeatability and Reproducibility test for the given process.

From part A one question: 30 Marks

From part B one question: 50 Marks

Viva –Voice : 20 Marks

Total : 100 Marks

REFERENCE BOOKS: 1. ILO, Introduction to work study - III Revised Edition, 1981

2. Motion and Time study - Ralph M Barnes; John Wiley, 8th Edition, 1985.

3. Engineered work Measurement - Wledon, ELBS , 1991

4. Motion and Time study - Marvin E. Mundel-, PHI, 1st edition

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68

B. E. Industrial Engineering & Management

Choice Based Credit System (CBCS) and Outcome Based Education (OBE)

SEMESTER - VI

MINI PROJECT

Course Code 18IMMP68 CIE Marks 40

Teaching Hours/Week (L:T:P) (0:0:2) SEE Marks 60

Credits 02 Exam Hours/Batch 03

Course Learning Objectives:

• To support independent learning and innovative attitude

• To guide to select and utilize adequate information from varied resources upholding ethics.

• To guide to organize the work in the appropriate manner and present information (acknowledging the

sources) clearly.

• To develop interactive, communication, organisation, time management, and presentation skills.

• To impart flexibility and adaptability.

• To inspire independent and team working.

• To expand intellectual capacity, credibility, judgement, intuition.

• To adhere to punctuality, setting and meeting deadlines.

• To instil responsibilities to oneself and others.

• To train students to present the topic of project work in a seminar without any fear, face audience

confidently, enhance communication skill, involve in group discussion to present and exchange ideas. �

Mini-Project: Each student of the project batch shall involve in carrying out the project work jointly in constant

consultation with internal guide, co-guide, and external guide and prepare the project report as per the norms

avoiding plagiarism.

Course Outcomes: At the end of the course the student will be able to:

• Present the mini-project and be able to defend it.

• Make links across different areas of knowledge and to generate, develop and evaluate ideas and information

so as to apply these skills to the project task.

• Habituated to critical thinking and use problem solving skills.

• Communicate effectively and to present ideas clearly and coherently in both the written and oral forms.

• Work in a team to achieve common goal.

• Learn on their own, reflect on their learning and take appropriate actions to improve it. �

CIE procedure for Mini - Project: The CIE marks awarded for Mini - Project, shall be based on the evaluation of Mini - Project Report, Project

Presentation skill and Question and Answer session in the ratio 50:25:25.The marks awarded for Mini - Project

report shall be the same for all the batch mates. �

Semester End Examination SEE marks for the mini-project shall be awarded based on the evaluation of Mini-Project Report, Presentation skill

and Question and Answer session in the ratio 50:25:25 by the examiners appointed by the University. �

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69

B. E. Industrial Engineering & Management

Choice Based Credit System (CBCS) and Outcome Based Education (OBE)

SEMESTER - VI

INTERNSHIP:

All the students admitted to III year of BE/B.Tech shall have to undergo mandatory internship of 4 weeks during the

vacation of VIand VII semesters and /or VII and VIII semesters. A University examination shall be conducted

during VIII semester and the prescribed credit shall be included in VIII semester. Internship shall be considered as a

head of passing and shall be considered for the award of degree. Those, who do not take-up/complete the internship

shall be declared as fail and shall have to complete during subsequent University examinations after satisfying the

internship requirements.

Course Code Refer to VIII semester scheme CIE Marks 40

Duration of internship 04 weeks SEE Marks 60

Credit 02 Exam Hours/ Batch 03

Course Learning Objectives: Internship/Professional practice provide students the opportunity of hands-on experience that include personal

training, time and stress management, interactive skills, presentations, budgeting, marketing, liability and risk

management, paperwork, equipment ordering, maintenance, responding to emergencies etc. The objective are

further,

• To put theory into practice.

• To expand thinking and broaden the knowledge and skills acquired through course work in the field.

• To relate to, interact with, and learn from current professionals in the field.

• To gain a greater understanding of the duties and responsibilities of a professional.

• To understand and adhere to professional standards in the field.

• To gain insight to professional communication including meetings, memos, reading, writing, public

speaking, research, client interaction, input of ideas, and confidentiality.

• To identify personal strengths and weaknesses.

• To develop the initiative and motivation to be a self-starter and work independently.�

Internship: Students under the guidance of internal guide/s and external guide shall take part in all the activities

regularly to acquire as much knowledge as possible without causing any inconvenience at the place of internship.

Seminar: Each student, is required to

• Present the seminar on the internship orally and/or through power point slides.

• Answer the queries and involve in debate/discussion.

• Submit the report duly certified by the external guide.

The participants shall take part in discussion to foster friendly and stimulating environment in which the students are

motivated to reach high standards and become self-confident. �

Course Outcomes: At the end of the course the student will be able to:

• Gain practical experience within industry in which the internship is done.

• Acquire knowledge of the industry in which the internship is done.

• Apply knowledge and skills learnt to classroom work.

• Develop a greater understanding about career options while more clearly defining personal career goals.

• Experience the activities and functions of professionals.

• Develop and refine oral and written communication skills.

• Identify areas for future knowledge and skill development.

• Expand intellectual capacity, credibility, judgment, intuition.

• Acquire the knowledge of administration, marketing, finance and economics. �

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70

B. E. Industrial Engineering & Management

Choice Based Credit System (CBCS) and Outcome Based Education (OBE)

SEMESTER - VII

ENTERPRISE RESOURCE PLANNING

Course Code 18IM71 CIE Marks 40

Number of Lecture Hours/Week (L:T:P) 3:0:0 SEE Marks 60

Credits 03 Exam Hours 03

Course Learning Objectives:

1. Apply the principles of ERP systems, their major components, and the relationships among components.

2. With the knowledge of typical ERP systems, and the advantages and limitations of implementing ERP

systems.

3. To comprehend the technical aspects of ERP systems.

4. To be able to map business processes using ERP concepts and techniques.

Module-1

INTRODUCTION TO ERP: Introduction, Evolution of ERP, What is ERP, Reasons for the growth of the ERP

market, The advantages of ERP, Why do Man ERP Implementations Fail? Why are ERP packages being used

now?

ENTERPRISE – AN OVERVIEW: Introduction, Integrated Management Information, Business modelling,

Integrated Data Model.

Module-2

ERP AND RELATED TECHNOLOGIES: Introduction, Business Process Reengineering, Management

Information System, Decision Support System, Executive Information Systems, Data Warehousing, Data Mining,

On-line Analytical Processing, Supply Chain Management.

ERP- MANUFACTURING PERSPECTIVE: Introduction, ERP. CAD/CAM, Materials Requirements

Planning, Bill of Material, Closed Loop MRP. Manufacturing Resource Planning, Distribution Requirements

Planning.

Module-3

KANBAN: JIT and Kanban, Product Data Management, Benefits of PDM, Make-to-order, and Make-to Stock,

Assemble to order, Engineer to order, Configure-to order.

ERP MODULES: Introduction, Finance, Plant Maintenance, Quality Management, Materials Management.

Module-4

BENEFITS OF ERP: Introduction, Reduction of Lead time, On-time shipment, Reduction in Cycle Time,

Improved Resource Utilization, Better Customer Satisfaction, Improved Suppler Performance, Increased

Flexibility, Reduced Quality Costs, Improved Information Accuracy and Decision – making capability.

ERP PACKAGES: Overview of ERP Software Introduction, SAP AG, Baan Company, Oracle Corporation,

PeopleSoft, JD Edwards World Solutions Company, System Software Associates, Inc. QAD

Module-5

ERP Implementation Life Cycle: Pre-Evaluations Screening, Package Evaluation, Project Planning Phase, Gap

Analysis, Reengineering, Configuration, Implementation of Team Training, Testing, Going Live, end user

Training, Post Implementation

VENDOR, CONSULTANTS AND USERS: Introduction, In-house implementation – Pros and Cons, Vendors,

Consultants, End-users.

ERP- Case studies

Course Outcomes: 1. Make use of Enterprise software, and its role in integrating business functions

2. Analyze the strategic options for ERP identification and adoption. L-3

3. Design the ERP implementation strategies.

4. Create reengineered business processes for successful ERP implementation.

Question paper pattern:

• The question paper will have ten full questions carrying equal marks.

• Each full question will be for 20 marks.

• There will be two full questions (with a maximum of four sub- questions) from each module.

• Each full question will have sub- question covering all the topics under a module.

• The students will have to answer five full questions, selecting one full question from each module.

Text Books:

1. Enterprise Resource Planning - Alexis Leon - Tata McGraw Hill Publishing Company Ltd -1999.

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2. Enterprise Resource Planning Concept and Practice -Vinod Kumar Garg and Venkitakrishnan-

Prentice Hall, India - 2nd Edition.

Reference Books:

1. Manufacturing Planning & Controls -Thomas Volloman, et,al.

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72

B. E. Industrial Engineering & Management

Choice Based Credit System (CBCS) and Outcome Based Education (OBE)

SEMESTER - VII

VALUE ENGEERING

Course Code 18IM72 CIE Marks 40

Number of Lecture Hours/Week (L:T:P) 3:0:0 SEE Marks 60

Credits 03 Exam Hours 03

Course Learning Objectives:

1. Will be able to understand about value

2. Can adopt functional approach in identifying unnecessary cost in a product

3. Can apply the value methodology

4. Can analysis value of the product and service and apply VA/VE technique to increase the value

Module-1

INTRODUCTION TO VALUE ANALYSIS: Definition of Value, Value Analysis, Value Engineering, Value

management, Value Analysis versus Value Engineering, Value Analysis versus Traditional cost reduction

techniques, uses, Applications, advantages and limitations of Value analysis. Symptoms to apply value

analysis, Coaching of Champion concept.

TYPE OF VALUES: Reasons for unnecessary cost of product, Peeling cost Onion concept, unsuspected areas

responsible for higher cost, Value Analysis Zone, attractive features of value analysis. Meaning of Value,

types of value & their effect in cost reduction. Value analysis procedure by simulation.

Detailed case studies of simple products

Module-2

FUNCTIONAL COST AND ITS EVALUATION: Meaning of Function and Functional cost, Rules for

functional definition, Types of functions, primary and secondary functions using verb and Noun, Function

evaluation process, Methods of function evaluation. Evaluation of function by comparison, Evaluation of

Interacting functions, Evaluation of function from available data, matrix technique, MISS technique,

Numerical evaluation of functional relationships and case studies.

PROBLEM SETTING & SOLVING SYSTEM: A problem solvable stated is half solved, Steps in problem

setting system, Identification, Separation and Grouping of functions. Case studies.

PROBLEM SETTING & SOLVING SYSTEM: Goods system contains everything the task requires. Various

steps in problem solving, case studies.

Module-3

VALUE ENGINEERING JOB PLAN: Meaning and Importance of Value Engineering Job plan. Phases of job

plan proposed by different value engineering experts, Information phase, Analysis phase, Creative phase,

Judgment phase, Development planning phase, and case studies. Cost reduction programs, criteria for cost

reduction program, Value analysis change proposal.

Module-4

VALUE ENGINEERING TECHNIQUES: Result Accelerators or New Value Engineering Techniques,

Listing, Role of techniques in Value Engineering, Details with Case examples for each of the Techniques.

ADVANCED VALUE ANALYSIS TECHNIQUES: Functional analysis system technique and case studies,

Value analysis of Management practice(VAMP), steps involved in VAMP, application of VAMP to

Government, University, College, Hospitals, School Problems etc., (service type problems).

TOTAL VALUE ENGINEERING: Concepts, need, Methodology and benefits.

Module-5

APPLICATION OF VALUE ANALYSIS: Application of Value analysis in the field of Accounting,

Appearance Design, Cost reduction, Engineering, manufacturing, Management, Purchasing, Quality Control,

Sales, marketing, Material Management Etc., Comparison of approach of Value analysis & other management

techniques.

Course Outcomes: After the completion of the course, a student will

• Able to understand the importance of value of a product

• Find out unnecessary cost/ function involved in the product

• Conduct value engineering methodology

• Do value analysis using advanced value engineering techniques

• Become a certified value engineer with additional course /training

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73

Question paper pattern:

• The question paper will have ten full questions carrying equal marks.

• Each full question will be for 20 marks.

• There will be two full questions (with a maximum of four sub- questions) from each module.

• Each full question will have sub- question covering all the topics under a module. • The students will have to answer five full questions, selecting one full question from each module.

Text Books:

1.Techniques of Value Analysis and Engineering– Lawrence D. Miles, McGraw – Hill Book Company,

2ndEdn.

2.Value engineering for Cost Reduction and Product Improvement – M.S. Vittal, Systems Consultancy

Services Edn 1993

3.Value Management, Value Engineering and Cost Reduction – Edward D Heller Addison Wesley Publishing

Company 1971.

Reference Books:

1. Value Analysis for Better Management – Warren J Ridge American Management Association Edn 1969.

2. Getting More at Less Cost (The Value Engineering Way) – G.Jagannathan Tata Mcgraw Hill Pub. Comp.

Edn 1995.

3. Value Engineering – Arther E Mudge McGraw Hill Book Comp. Edn 1981.

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74

B. E. Industrial Engineering & Management

Choice Based Credit System (CBCS) and Outcome Based Education (OBE)

SEMESTER - VII

PROJECT MANAGEMENT

Course Code 18IM731 CIE Marks 40

Number of Lecture Hours/Week (L:T:P) 3:0:0 SEE Marks 60

Credits 03 Exam Hours 03

Course Learning Objectives:

• Describe major activities and deliverable at each project life cycle stage, strategic planning and portfolio

alignment processes.

• Understand the organizational capability in terms of structure, culture and stakeholders requirements.

• Learn project scheduling and identify the resource needs for a project

• Describe how to plan for rick management, stages of team development and strategies for managing.

• Create and present a project progress report and describe the importance of the project closing activities and

how to perform them.

Module-1

Introduction: Definition of project, History of Project Management, Understanding projects, Project roles.

Project Selection and Prioritization – Strategic planning process, portfolio alignment, securing and negotiating

projects.

Module-2

Organizational capability: Types of organizational structures, organizational culture and its impact on projects,

project life cycles, project executive roles, project management roles, project team roles.

Planning Projects: Defining the project scope, scope planning, collect requirements, Project scope checklist, Work

Breakdown Structure (WBS, establish change control.

Module-3

Scheduling projects: Introduction to project time management, purposes of a project schedules, Historical

development of project schedules, how project schedules are limited and created, define activities, sequence activities,

estimate activity duration, develop project schedules, uncertainty in project schedules, show the project schedule on a

gantt chart.

Resourcing Projects: Abilities needed when resourcing projects, estimate resource needs, creating staffing

management plan, project team composition issues, assign a resource to each activities, dealing with resource

overloads, compress the project schedule, alternative scheduling methods.

Module-4

Project Risk Planning: Risk Management Planning, risk identification, risk analysis, risk response planning

Leading and managing project teams: Acquiring the project team, developing the project team, managing and

leading the project team, managing stakeholders expectations, managing project conflicts.

Module-5

Determining project progress and results: project balanced scorecard approach, internal project issues, customer

issues, financial issues.

Finishing the project and realizing the benefits: Verify scope, close procurements, close project, post project

activities.

Course Outcomes:

• Apply to the given situation, the fundamental concepts and basic principles of project management, selection

and prioritization.

• Utilize appropriately the knowledge of organizational capability, project planning and scheduling for

successful execution of projects.

• Identify and assign resource for a project, compress the project schedule and plan risk management.

• Analyze project progress through managing project teams, results and realization of benefits in Project

Management.

Question paper pattern:

• The question paper will have ten full questions carrying equal marks.

• Each full question will be for 20 marks.

• There will be two full questions (with a maximum of four sub- questions) from each module.

• Each full question will have sub- question covering all the topics under a module.

• The students will have to answer five full questions, selecting one full question from each module.

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75

TEXT BOOKS :

1. Contemporary Project Management, Timothy J Kloppenborg, Cengage Learning, Second Edition 2012.

2. Project Management, A systems approach to planning scheduling and controlling by Harold kerzner, CBS

publication.

3. Project Management by S Choudhury, Mc Graw Hill Education (India) Pvt. Ltd. New Delhi, 2016

REFERENCE BOOKS : 1. Project Management, Pennington Lawrence, Mc Graw hill

2. Project Management, A Moder Joseph and Phillips New Yark Van Nostrand, Reinhold.

3. Project Management, Bhavesh M. Patal, Vikas publishing House..

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76

B. E. Industrial Engineering & Management

Choice Based Credit System (CBCS) and Outcome Based Education (OBE)

SEMESTER - VII

MARKETING MANAGEMENT

Course Code 18IM732 CIE Marks 40

Number of Lecture Hours/Week (L:T:P) 3:0:0 SEE Marks 60

Credits 03 Exam Hours 03

Course Learning Objectives:

1 have acquired analytical skills in solving marketing related problems and challenges and be familiar with the

strategic marketing management process.

2 train participants to apply concepts and techniques in marketing so that they become acquainted with the duties

of a marketing manager.

Module-1

INTRODUCTION: Historical development of marketing management, Definition of Marketing, Core marketing

concepts, Marketing Management philosophies, Micro and Macro Environment, importance of marketing in the

India Socio – economics system.

CONSUMER MARKETS AND BUYING BEHAVIOR: Characteristics affecting consumer behaviour, Types

of buying decisions, Buying decision process, Classification of consumer products, Market segmentation.

Module-2

MARKETING INFORMATION SYSTEMS AND RESEARCH: Components of marketing information

system–benefits & uses marketing research system, marketing research procedure, measurement of market

demand.

MARKETING OF INDUSTRIAL GOODS: Nature and importance of the Industrial market, classification of

industrial products, participants in the industrial buying process, major factors influencing industrial buying

behaviour, characteristics of industrial market demand. Determinants of industrial market demand, Buying power

of Industrial users, buying motives of Industrials users, the industrial buying process, buying patterns of industrial

users

Module-3

PRODUCT PLANNING AND DEVELOPMENT: The concept of a product, features of a product,

classification of products, product policies – product planning and development, product line, product mix –

factors influencing change in product mix, product mix strategies, meaning of New– product; major stages in new

– product development product life cycle.

BRANDING, LABELLING AND PACKAGING: Branding, Reasons for branding, functions of branding,

features and types of brands, kinds of brand name.

LABELLING: Types, functions, advantages and disadvantages

PACKAGING: Meaning, growth of packaging, function of packaging, kinds of packaging.

Module-4

PRICING: Importance of Price, pricing objectives, factors affecting pricing decisions, procedure for price

determination, kinds of pricing, pricing strategies and decisions.

DISTRIBUTION: Marketing channels – functions, types of channels of distribution, number of channel levels.

Physical distribution – importance, total systems concept, strategy, use of physical distribution.

Module-5

PERSONAL SELLING: Objectives of personal selling, establishing the Sales force objectives, sales – force

strategy, sales force structure and size, salesmanship, qualities of good salesman, types of salesman, major steps in

effective selling.

Course Outcomes: On completion of this Course students will be able to:

• Identify and understand core concepts of marketing and the role of marketing in business and society.

• Apply the concepts of marketing management and information system to make a successful organization

• Analyze and Determine strategies for developing new products and services that are consistent with evolving

market needs.

• Develop and evaluate pricing strategies that take into account perceived value, competitive pressures and

corporate objectives.

• Identify the roles of sales promotion, public relations, personal selling and develop integrated marketing plan

to the promotional mix

Question paper pattern:

• The question paper will have ten full questions carrying equal marks.

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77

• Each full question will be for 20 marks.

• There will be two full questions (with a maximum of four sub- questions) from each module.

• Each full question will have sub- question covering all the topics under a module.

• The students will have to answer five full questions, selecting one full question from each module.

TEXT BOOKS:

1. Principles of Marketing - Philip Kotler - Prentice Hall - 11thEdn.

2. Marketing Management - Philip Kotler , Prentice Hall - 12thEdn.

Reference Books:

1. Fundamentals of Marketing - Wiliam J Stanton - McGraw Hill – 1994.

2. Marketing Management Text & Cases - Rajagopal- Vikas Publishing House - ISBN 81-259-0773-4.

3. Marketing Management - Michael R Czinkota - Vikas Publishing House - 2nd Edition ISBN 981-240-366-3

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78

B. E. Industrial Engineering & Management

Choice Based Credit System (CBCS) and Outcome Based Education (OBE)

SEMESTER - VII

STRATEGIC MANAGEMENT

Course Code 18IM733 CIE Marks 40

Number of Lecture Hours/Week (L:T:P) 3:0:0 SEE Marks 60

Credits 03 Exam Hours 03

Course Learning Objectives:

1. To provide insights into the core concepts of strategic management.

2. To evaluate various business strategies in dynamic market environments.

3. To gain insights into various strategic management models

Module-1

STRATEGIC MANAGEMENT INTRODUCTION: Definition- Levels of strategy- Roles of Strategist- Strategic

Management Process benefits and limitations. Mission Objectives -Social responsibilities.

Module-2

STRATEGY FORMULATION: Strategic Thinking, SWOT analysis- Techniques for environmental analysis-

TOWS matrix, Balanced Score Card, Steps in strategy implementation -formulation of SBU strategy.

Leadership implementation communicating the strategy - Annual and Functional objectives- Development of

policies- Organisational Implementation- Evaluation and control. reward system.

Module-3

STRATEGY AND STRUCTURE: Strategy- Structure relationship. Organizational restructuring and

Transformation, Principles of Organization.

STRATEGY EVALUATION AND CONTROL: Strategic control- Premise and Implementation control strategic

Surveillance special alert control- Operational control- Steps in Operational Control, Types of Operational control.

Module-4

PORTFOLIO STRATEGY: Business portfolio analysis- BGC matrix, GE multi matrix, an evaluation of Portfolio

models - factors influencing portfolio strategy.

Module-5

COMPETITIVE ANALYSIS AND STRATEGIES: Structural analysis of industries threat of entry rivalry among

existing competitors, threat of substitutes; Bargaining power of suppliers; structural analysis and competitive

strategy -competitor analysis value chain.

Course Outcomes:

1. Formulate a strategic plan that operationalizes the goals and objectives of the firm.

2. Use management concepts to analyze complex business situations

3. Associate with various Strategic Management models for Business situations

4. Ability to evaluate and critique theories and models in corporate environment.

Question paper pattern:

• The question paper will have ten full questions carrying equal marks.

• Each full question will be for 20 marks.

• There will be two full questions (with a maximum of four sub- questions) from each module.

• Each full question will have sub- question covering all the topics under a module.

• The students will have to answer five full questions, selecting one full question from each module.

Text Books:

1. Strategic Management - Francis Cherunilam - Himalya Publishers,

2. Business Policy and Strategic Management - AzharKazmi - Tata McGraw Hill -2ndEdn.

3. Strategic Management - Michael Porter - Prentice-Hall – 1984.

Reference Books:

1. Business Policy and Strategic Management - P SubbaRao - Himalya Publishers - 1st Edition.

2. Corporate Strategic Management -R.M.Srivastava, PragatiPrakashan ,Meerut - 1st Edition.

3. Strategic Management – Robert A Pitts and David Lei - Vikas Publishing House- 1st Edition.

4. Business Environment for Strategic Management - K.Aswantappa- Himalaya Publishers -1st Edition.

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79

B. E. Industrial Engineering & Management

Choice Based Credit System (CBCS) and Outcome Based Education (OBE)

SEMESTER - VII

SOFTWARE ENGINEERING & MANAGEMENT

Course Code 18IM734 CIE Marks 40

Number of Lecture Hours/Week (L:T:P) 3:0:0 SEE Marks 60

Credits 03 Exam Hours 03

Course Learning Objectives:

1. Ability to apply software engineering principles and techniques.

2. To produce efficient, reliable, robust and cost-effective software solutions.

3. Ability to work as an effective member or leader of software engineering teams.

4. To manage time, processes and resources effectively by prioritizing competing demands to achieve personal

and team goals Identify and analyzes the common threats in each domain.

Module-1

THE PRODUCT AND THE PROCESS: The product - Characteristics, Components, and Applications. The

Process -Software process Models - Linear, sequential, Prototype, RAD, Process Technology, Software

Development Life cycle.

SOFTWARE PROJECT MANAGEMENT CONCEPTS: The Management Specification, People, Problem,

Process, project.

Module-2

SOFTWARE PROJECT PLANNING: Objectives, Scope, Resource, Project estimation, Decomposition

Techniques – software sizing, problem-based estimation, process-based estimation, Empirical Estimation

Models. Make-buy decision, Automated estimation tools.

Module-3

RISK MANAGEMENT: Reactive v/s Proactive Risk Strategies, Software Risks, Risk identification, Risk

projection, Monitoring.

SOFTWARE PROJECT SCHEDULING AND TRACKING: Basic concepts, defining a task set selection,

Defining Scheduling, Project Plan.

Module-4

SOFTWARE QUALITY ASSURANCE: Quality assurance concept, Cost impact of software defects,

Technical review, statistical Quality assurance, software reliability, ISO 9000 Quality standards

SOFTWARE TESTING: Objectives, Principles, Testability.

Module-5

SOFTWARE QUALITY AND RELIABILITY: Introduction, software modularity, language, Data reliability,

Fault tolerance, software checking and software testing. 4 Hours

OBJECT ORIENTED CONCEPT AND PRINCIPLES: Object Oriented Concepts, Identifying the elements

of an object model.

Course Outcomes: After the completion of the course, a student will

• Examine and understand the concepts of the software product, process and project management.

• Analyze software project planning as to how project is estimated and recognize when planner decides to

make or buy a software

• Interpret the ways of managing risk, scheduling and tracking a software project

• Explain the object-oriented concepts and analyze the elements of an object model with case studies.

Text Books:

1. Software Engineering – Pressman - Computer Science Series - TATA McGraw-Hill Publications - 6th

edition

Reference Books:

1 Software Engineering – Somerville - Pearson Education,

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80

B. E. Industrial Engineering & Management

Choice Based Credit System (CBCS) and Outcome Based Education (OBE)

SEMESTER - VII

ORGANIZATIONAL BEHAVIOR

Course Code 18IM741 CIE Marks 40

Teaching Hours/Week (L:T:P) (3:0:0) SEE Marks 60

Credits 03 Exam Hours 03

Course Learning Objectives:

1. To make students understand fundamental concepts and principles of management, including the basic

roles, skills, and functions of management.

2. To make students knowledgeable of historical development, theoretical aspects and practice application of

managerial process.

3. To understand the basic concepts and theories underlying individual behaviour besides developing better

insights into one’s own self.

4. To make students aware of Individual behaviour in groups, dynamics of groups and team building besides

developing a better awareness of how they can be better facilitators for building effective teams as leaders

themselves.

Module-1

Introduction: Definition of Organization Behaviour and Historical development, Environmental context

(Information Technology and Globalization, Diversity and Ethics, Design and Cultural, Reward Systems).

Foundations of individual behavior: individual differences. Ability: Intellectual abilities, Physical ability, the role

of disabilities. Attitude: Meaning, Formation, components of attitudes, relation between attitude and behavior,

Aptitude, interests. Values.

Module-2

Personality: Meaning, formation, determinants, traits of personality, big five and MBTI, personality attributes

influencing OB. Personality Job Fit Theory.

Learning: Definition, Theories of Learning, Individual Decision Making, classical conditioning, operant

conditioning, social learning theory, continuous and intermittent reinforcement.

Module-3

Perception: Meaning, Process of perception, factors influencing perception, link between perception and individual

decision-making.

Module-4

Motivation: Maslow's Hierarchy of Needs theory, Mc-Gregor's theory X and Y, Hertzberg's motivation Hygiene

theory, David Mc-Clelland’s three needs theory, Victor Vroom's expectancy theory of motivation.

Leadership: Meaning, styles of leadership, leadership theories, trait theory, behavioural theories, managerial grid,

situational theories.

Module-5

Group Behavior: Definition and classification of groups, Factors affecting group formation, stages of group

development, Norms, Hawthorne studies, group processes, group tasks, group decision making.

Course Outcomes: At the end of the course the student will be able to:

1. Demonstrate their conceptual skills understanding and application of principles and functions of management

and to enable students basic understanding of dynamics of OB

2. Evaluate the global context for taking managerial actions of planning, Organizing and Controlling and

application of concepts of planning like MBO and Managerial decision making.

3. The Student will demonstrate ability to analyze predicting and to control behaviour of people at work for

organization effectiveness.

4. Students to develop leadership skills and ability to motivate and work in groups to achieve organizational goals.

5. Understand and demonstrate their exposure towards growing complexities and recent trends in management.

Question paper pattern:

• The question paper will have ten full questions carrying equal marks.

• Each full question will be for 20 marks.

• There will be two full questions (with a maximum of four sub- questions) from each module.

• Each full question will have sub- question covering all the topics under a module.

• The students will have to answer five full questions, selecting one full question from each module.

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81

Sl No Title of the Book Name of the

Author/s Name of the Publisher Edition and Year

Textbook/s

1 Organizational Behaviour

Stephen P

Robbins,

Timothy A.

Judge,

SeemaSanghi

-Pearson Education 14th Edition,

2012

2 Organization Behaviour

Ashwathappa, Himalaya Publication

House

Reference Books

3 Organizational Behavior Fred Luthans Tata Mc Graw HILL

4 Organizational Behavior.

PG Aquinas Excel Books

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82

B. E. Industrial Engineering & Management

Choice Based Credit System (CBCS) and Outcome Based Education (OBE)

SEMESTER - VII

DESIGN OF EXPERIMENTS

Course Code 18IM742 CIE Marks 40

Number of Lecture Hours/Week (L:T:P) 3:0:0 SEE Marks 60

Credits 03 Exam Hours 03

Course Learning Objectives: • An ability to design and conduct experiments, as well as to analyze and interpret data.

• An ability to design a system, component, or process to meet desired needs within realistic constraints such

as economic, environmental, social, political, ethical, health and safety, manufacturability, and sustainability

• An ability to use the techniques, skills, and modern engineering tools necessary for engineering practice.

Module-1

Strategy of Experimentation, Typical applications of Experimental design, Basic Principles, Guidelines for

Designing Experiments. Concepts of random variable, probability, density function cumulative distribution

function. Sample and population, Measure of Central tendency; Mean median and mode, Measures of

Variability, Concept of confidence level. Statistical Distributions: Normal, Log Normal & Weibull

distributions. Hypothesis testing, Probability plots, choice of sample size. Illustration through Numerical

examples.

Module-2

Classical Experiments: Factorial Experiments: Terminology: factors, levels, interactions, treatment

combination, randomization, Two-level experimental designs for two factors and three factors. Three-level

experimental designs for two factors and three factors, Factor effects, Factor interactions, Fractional factorial

design, Saturated Designs, Central composite designs. Illustration through Numerical examples.

Module-3

Measures of variability, Ranking method, Column effect method & Plotting method, Analysis of variance

(ANOVA) in Factorial Experiments: YATE’s algorithm for ANOVA, Regression analysis, Mathematical

models from experimental data. Illustration through Numerical examples.

Module-4

Quality, Western and Taguchi’s quality philosophy, elements of cost, Noise factors causes of variation.

Quadratic loss function & variations of quadratic loss function. Robust Design: Steps in Robust Design:

Parameter design and Tolerance Design. Reliability Improvement through experiments, Illustration through

Numerical examples.

Module-5

Types of Orthogonal Arrays, selection of standard orthogonal arrays, Linear graphs and Interaction assignment,

Dummy level Technique, Compound factor method, Modification of linear graphs. Illustration through

Numerical examples.

Course Outcomes: After completing the module, students will be able to:

• apply the basics of statistical inference (estimation, testing, confidence regions) in the course setting

• perform a correct statistical analysis of different types of designs, including unbalanced data sets,

Question paper pattern:

• The question paper will have ten full questions carrying equal marks.

• Each full question will be for 20 marks.

• There will be two full questions (with a maximum of four sub- questions) from each module.

• Each full question will have sub- question covering all the topics under a module.

• The students will have to answer five full questions, selecting one full question from each module.

Text Books:

• Box GEP, Hunter JS, Hunter WG, 2005. Statistics for Experimenters. 2nd ed. Wiley.

• Design and Analysis of Experiments, 8ed, ISV (WSE) Paperback – 2013by Douglas C.

Montgomery

Reference Books:

• Dean A, Voss D, 1999. Design and Analysis of Experiments. Springer.

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83

B. E. Industrial Engineering & Management

Choice Based Credit System (CBCS) and Outcome Based Education (OBE)

SEMESTER - VII

WORLD CLASS MANUFACTURING

Course Code 18IM743 CIE Marks 40

Number of Lecture Hours/Week (L:T:P) 3:0:0 SEE Marks 60

Credits 03 Exam Hours 03

Course Learning Objectives:

• Understand the different principles of world class manufacturing.

• Principles of WCM, value stream mapping.

• Benchmarking of process and training.

Module-1

INTRODUCTION TO WORLD CLASS MANUFACTURING

Manufacturing Excellence and Competitiveness, What is world-Class Manufacturing?-Halls framework of

world-Class Manufacturing (WCM), Gunn s Model of World-Class Manufacturing, Maskells Model of World-

Class Manufacturing.

WORLD CLASS MANUFACTURING The philosophy of world-class Manufacturing-The First Principles of World-Class Manufacturing, The

practices of World-Class Manufacturing-The customers Interface ,The Supplier Interface, World-Class

Practices in the factory.

Module-2

PRINCIPLES AND PRACTICIES OF WCM Data collection plan, research-internal public domain sources, outside experts etc , original research, site visits,

and code of conduct, Analyzing the gap: Top displaying data, deciding and combining best work practices,

Balance Score Card Technique, Value Stream Mapping, validation, recommendations etc

Module-3

BENCHMARKING Definition, mission and objectives, managing benchmarking process, training and code of conduct, future scope

and benchmarking process , What to benchmark: concept of step zero, priorities, business processes linking to

goals etc, investigation, documentation, performance measures, improving business processes , Whom to

benchmarks: Developing candidate list, systematic search, refining the initial list

Module-4

DEFINITION OF REENGINEERING Importance of 3Cs-customers takes charges, competition intensifies, and change becomes constant , Definition

of Business Process Reengineering fundamentals rethinking, radical redesign, and dramatic improvement

Rethinking business process, new world of and enabling role of information technology

QUALITY MANAGEMENT SYSTEMS

ISO 9000-2000, IS 14000, Frame Work for Business Excellence - Malcolm Baldridge Award, Deming’s

Award

Module-5

SIX SIGMA

The Basics, The core of Six Sigma(DMAIC), design for Six Sigma, DFSS and the customer, Quality time and

the Bottom line , core of DFSS-IDOV method , DFSS Metrics, DFSS Infrastructure People and resources,

Implementing DFSS

ACTIVITY BASED MANAGEMENT (ABM) Introduction, Traditional Cost Systems, Activity Based activity Based Costing, Activity Based Management,

ABM Implementation, Case Study.

Course Outcomes: After the completion of the course, a student will

1. Have a understanding of the need for learning the world class manufacturing setup.

2. Learn the principles and practices of world class manufacturing.

3. Determine the quality practices as applied to world class product and Standard practices of quality of

conformance systems.

Question paper pattern:

• The question paper will have ten full questions carrying equal marks.

• Each full question will be for 20 marks.

• There will be two full questions (with a maximum of four sub- questions) from each module.

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84

• Each full question will have sub- question covering all the topics under a module.

• The students will have to answer five full questions, selecting one full question from each module.

Text Books: 1. World Class Manufacturing- A Strategic Perspective – Sahay B S, Saxena K B C, Ashish Kumar –

MacMillan India Ltd – ISBN 0333-93-4741. (unit 1 & 2)

2. Finding and Implementing Best Practices- Business Process Benchmarking -Champ, Robert C. –

Vision Books, New Delhi – 2008.(unit 3 & 4)

3. Reengineering the corporation – A Manifesto for Business revolution – Hammer, Michael and James

Champy – Nicholas Brealey Publishing , London.- 1993(unit 5 & 6)

4. Six sigma for Managers- Greg Brue – TMH – ISBN- 0-07-048639- 5 -2002.(unit 7)

Reference Books: 1. Design for Six Sigma –Grege – TMH – ISBN 0-07-058120. – 2003.

2. Design for Six Sigmain Technology and Product Development – Creveling -Pearson Education – 2008.

3. Total Quality Management -Dale H. Besterfield, carol Besterfield- Minchna, glen H Besterfield and

Mary Besterfield scare – Pearson education – 3rd edition – ISBN 81-297-0260-6 (Part of Unit 6 )

4. Total Quality Management – Kesavan R – I K International Publishing house Pvt. Ltd –

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85

B. E. Industrial Engineering & Management

Choice Based Credit System (CBCS) and Outcome Based Education (OBE)

SEMESTER - VII

MAINTENANCE AND SAFETY ENGINEERING

Course Code 18IM744 CIE Marks 40

Number of Lecture Hours/Week (L:T:P) 3:0:0 SEE Marks 60

Credits 03 Exam Hours 03

Credits – 03

Course Learning Objectives: To provide the students with

• Understand the mechanics of safety

• Understand different types of maintenance and different type of models

• Quality , Reliability and Maintainability of safety and maintenance

Module-1

Introduction, Need for Maintenance, Facts and Figures, Modern Maintenance, Problem and

Maintenance Strategy for the 21st Century, Engineering Maintenance Objectives and Maintenance in

Equipment Life Cycle, Terms and Definitions. Maintenance Management and Control: Maintenance Manual,

Maintenance, Facility Evaluation, Functions of Effective Maintenance Management, Maintenance Project

Control Methods, Maintenance Management Control Indices.

Module-2

Types Of Maintenance: Preventive Maintenance, Elements of Preventive, Maintenance Program, Establishing

Preventive Maintenance Program PM Program Evaluation and Improvement, PM Measures, PM Models,

Corrective Maintenance, Corrective Maintenance Types, Corrective Maintenance Steps and Downtime

Components, Corrective Maintenance Measures, Corrective Maintenance Models. Inventory Control In

Maintenance: Inventory Control Objectives and Basic Inventory Decisions, ABC Inventory Control Method,

Inventory Control Models Two-Bin Inventory Control and Safety Stock, Spares Determination Factors Spares

Calculation Methods

Module-3

Quality And Safety In Maintenance: Needs for Quality Maintenance Processes, Maintenance Work Quality,

Use of Quality Control Charts in Maintenance Work Sampling, Post Maintenance Testing, Reasons for Safety

Problems in Maintenance, Guidelines to Improve Safety in Maintenance Work, Safety Officer’s Role in

Maintenance Work, Protection of Maintenance Workers. Maintenance Costing: Reasons for Maintenance

Costing, Maintenance Budget Preparation Methods and Steps, Maintenance Labor Cost Estimation, Material

Cost Estimation, Equipment Life Cycle Maintenance Cost Estimation, Maintenance Cost Estimation Models.

Module-4

Reliability, Reliability Centered Maintenance, Rcm: Goals And Principles, RCM Process

and Associated Questions, RCM Program Components Effectiveness Measurement Indicators, RCM Benefits

and Reasons for Its Failures, Reliability Versus Maintenance and Reliability in Support Phase, Bathtub

Hazard Rate Concept, Reliability Measures and Formulas, Reliability Networks, Reliability Analysis

Techniques.

Module-5

Maintainability: Maintainability Importance and Objective, Maintainability in Systems LifeCycle,

Maintainability Design Characteristics, Maintainability Functions and Measures, Common Maintainability

Design Errors.

Course Outcomes: After the completion of the course, a student will

• Understand the content of essential concepts in system safety and systems engineering.

• Be able to develop advanced risk models to be used for dynamic risk control and with integrated

machine learning.

• Develop safety and/or maintenance indicators for controlling operational safety

Question paper pattern:

• The question paper will have ten full questions carrying equal marks.

• Each full question will be for 20 marks.

• There will be two full questions (with a maximum of four sub- questions) from each module.

• Each full question will have sub- question covering all the topics under a module.

• The students will have to answer five full questions, selecting one full question from each module.

Text Books: • Reliability, Maintenance and Safety Engineering/ Dr. A. K. Guptha/ Laxmi Publications.

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86

• Industrial Safety Management/ L.M. Deshmukh/TMH

Reference Books: • Maintenance Engineering & Management / R. C. Mishra/ PHI

• Reliability Engineering / Elsayed/ Pearson

• Engineering Maintenance a modern approach/ B.S Dhallon/ C.R.R Publishers

• A Text Book of Reliability and Maintenance Engineering/Alakesh Manna/IK International Publishing

House

• Plant Maintenance and Reliability Engineering/NVS Raju/Cengage Learning

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87

B. E. Industrial Engineering & Management

Choice Based Credit System (CBCS) and Outcome Based Education (OBE)

SEMESTER - VII

HUMAN RESOURCE MANAGEMENT

Course Code 18IM751 CIE Marks 40

Teaching Hours/Week (L:T:P) (3:0:0) SEE Marks 60

Credits 03 Exam Hours 03

Course Learning Objectives:

1. Recognize the importance of Human Resource in an organization.

2. Explain the importance of Recruitment and Training in staffing an organization.

3. Recognize the training and development needs and identify the training methods.

4. Use special methods to enhance HR systems.

5. Identify the importance of industrial relations and industrial disputes and settlement

Module-1

INTRODUCTION: Evolution of HRM, Objectives, Functions and Policies.

HUMAN RESOURCE PLANNING: Uses and benefits, Man Power Inventory, Man Power Forecasting,

Methods of Man Power Forecasting, job Description, Job Specification.

Module-2

RECRUITMENT: Sources of Man power, Advertisement, Short Listing of Candidates calling Candidates for

selection Process.

SELECTION: Selection procedure – Written Test, Group Discussion. Interview – Different methods, advantages

and limitations, Psychological testing – Advantages and limitations, Induction procedure, transfers, promotion,

exit interview, (Tutorial on written test, Group Discussion, Interviews

Module-3

TRAINING AND DEVELOPMENT: Identification of Training needs, Training Evaluation, Training Budget,

Executive Development – Different Approaches, Non-executive development – Different methods.

PERFORMANCE APPRAISAL: Components (all round performance appraisal), Methods. Advantages and

limitations of different methods, Personal Counselling based on Annual Confidential Reports

Module-4

COUNSELLING AND HUMAN RESOURCE ACCOUNTING: Characteristics, Need, Function, Types, Suggestions for personnel development, communication function,

communication process, effective communication. Human resource records, Advantages of HR accounting,

Various methods of accounting

Module-5

INDUSTRIAL RELATIONS: Indian trade union act, standing orders act, Indian factories act

INDUSTRIAL DISPUTES AND SETTLEMENT: Indian Industrial Disputes act, Industrial disputes settlement

machinery. Works committee, Board of Conciliation, Voluntary Arbitration, Compulsory arbitration, Court of

inquiry, Industrial tribunal, Adjudication.

Course Outcomes: At the end of the course the student will be able to:

• Recall and explain the importance of HR in an organization

• Demonstrate skills in identifying the right man for the right job and carry out scientific selection.

• Interpret the training requirement and use the right method of training.

• Employ the right techniques for employee performance enhancement.

• Appraise the importance of industrial relations and correlate the existing legislations to settlement of

industrial disputes.

Question paper pattern:

• The question paper will have ten full questions carrying equal marks.

• Each full question will be for 20 marks.

• There will be two full questions (with a maximum of four sub- questions) from each module.

• Each full question will have sub- question covering all the topics under a module.

• The students will have to answer five full questions, selecting one full question from each module.

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88

Sl No Title of the Book Name of the

Author/s Name of the Publisher

Edition and

Year

Textbook/s

1 Human Resources Management Dr. K

Ashwathappa

Tata McGraw Hill 1999.

2 Management of Human

Resources

CB Mamoria Himalaya Publication

House

2003.

Reference Books

3 Personnel / Human Resource

Management

Decenzo and

Robbins

PHI 2002

4 Human Resources Management VSP Rao

5 Industrial Relations Arun Monappa TMH - ISBN – 0-07-

451710-8.

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89

B. E. Industrial Engineering & Management

Choice Based Credit System (CBCS) and Outcome Based Education (OBE)

SEMESTER - VII

ORGANIZATIONAL BEHAVIOR

Course Code 18IM752 CIE Marks 40

Teaching Hours/Week (L:T:P) (3:0:0) SEE Marks 60

Credits 03 Exam Hours 03

Course Learning Objectives:

1. To make students understand fundamental concepts and principles of management, including the basic

roles, skills, and functions of management.

2. To make students knowledgeable of historical development, theoretical aspects and practice application of

managerial process.

3. To understand the basic concepts and theories underlying individual behaviour besides developing better

insights into one’s own self.

4. To make students aware of Individual behaviour in groups, dynamics of groups and team building besides

developing a better awareness of how they can be better facilitators for building effective teams as leaders

themselves.

Module-1

Introduction: Definition of Organization Behaviour and Historical development, Environmental context

(Information Technology and Globalization, Diversity and Ethics, Design and Cultural, Reward Systems).

Foundations of individual behavior: individual differences. Ability: Intellectual abilities, Physical ability, the

role of disabilities. Attitude: Meaning, Formation, components of attitudes, relation between attitude and

behavior, Aptitude, interests. Values.

Module-2

Personality: Meaning, formation, determinants, traits of personality, big five and MBTI, personality attributes

influencing OB. Personality Job Fit Theory.

Learning: Definition, Theories of Learning, Individual Decision Making, classical conditioning, operant

conditioning, social learning theory, continuous and intermittent reinforcement.

Module-3

Perception: Meaning, Process of perception, factors influencing perception, link between perception and

individual decision-making.

Module-4

Motivation: Maslow's Hierarchy of Needs theory, Mc-Gregor's theory X and Y, Hertzberg's motivation Hygiene

theory, David Mc-Clelland’s three needs theory, Victor Vroom's expectancy theory of motivation.

Leadership: Meaning, styles of leadership, leadership theories, trait theory, behavioural theories, managerial grid,

situational theories.

Module-5

Group Behavior: Definition and classification of groups, Factors affecting group formation, stages of group

development, Norms, Hawthorne studies, group processes, group tasks, group decision making.

Course Outcomes: At the end of the course the student will be able to:

1. Demonstrate their conceptual skills understanding and application of principles and functions of

management and to enable students basic understanding of dynamics of OB

2. Evaluate the global context for taking managerial actions of planning, Organizing and Controlling and

application of concepts of planning like MBO and Managerial decision making.

3. The Student will demonstrate ability to analyze predicting and to control behaviour of people at work for

organization effectiveness.

4. Students to develop leadership skills and ability to motivate and work in groups to achieve organizational

goals.

5. Understand and demonstrate their exposure towards growing complexities and recent trends in

management.

Question paper pattern:

• The question paper will have ten full questions carrying equal marks.

• Each full question will be for 20 marks.

• There will be two full questions (with a maximum of four sub- questions) from each module.

• Each full question will have sub- question covering all the topics under a module.

• The students will have to answer five full questions, selecting one full question from each module.

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90

Sl No Title of the Book Name of the

Author/s Name of the Publisher Edition and Year

Textbook/s

1 Organizational Behaviour

Stephen P

Robbins,

Timothy A.

Judge,

SeemaSanghi

-Pearson Education 14th Edition,

2012

2 Organization Behaviour

Ashwathappa, Himalaya Publication

House

Reference Books

3 Organizational Behavior Fred Luthans Tata Mc Graw HILL

4 Organizational Behavior.

PG Aquinas Excel Books

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91

B. E. Industrial Engineering & Management

Choice Based Credit System (CBCS) and Outcome Based Education (OBE)

SEMESTER - VII

SUPPLY CHAIN MANAGEMENT

Course Code 18IM753 CIE Marks 40

Teaching Hours/Week (L:T:P) (3:0:0) SEE Marks 60

Credits 03 Exam Hours 03

Course Learning Objectives:

1. Identify the different elements of a Strategic Framework and analyse supply chains.

2. Explain the elements in the design of supply chain networks.

3. Demonstrate the facilities location for designing the supply chain network

4. Determine the inventories for supply chains.

5. Recognize emerging concepts for supply chain networks

Module-1

BUILDING A STRATEGIC FRAME WORK TO ANALYSE SUPPLY CHAINS: Supply chain stages and

decision phase, process view of a supply chain. Supply chain flows. Examples of supply chains. Competitive and

supply chain strategies. Achieving strategic fit. Expanding strategic scope. Drivers of supply chain performance.

Framework for structuring drivers – Inventory, Transportation, Facilities, Information. Obstacles to achieving fit.

Module-2

DESIGNING THE SUPPLY CHAIN NETWORK: Distribution Networking – Role, Design. Supply Chain

Network (SCN) – Role, Factors, Framework for Design Decisions.

Module-3

FACILITY LOCATION AND NETWORK DESIGN: Models for facility location and capacity allocation.

Impact of uncertainty on SCN – discounted cash flow analysis, evaluating network design decisions using decision

trees. Analytical problems.

Module-4

PLANNING AND MANAGING INVENTORIES IN A SUPPLY CHAIN: Review of inventory concepts.,

Concepts of Safety Inventory, Concept of Aggregation of Inventory, Concept of product availability.

Module-5

EMERGING CONCEPTS: Reverse Logistics, Reasons, Activities, Role. RFID Systems; Components,

applications, implementation. Lean supply chains, Implementation of Six Sigma in Supply Chains.

Course Outcomes: At the end of the course the student will be able to:

• Recall the elements involved in strategic frame work and analysis of supply chains.

• Demonstrate the elements involved in the design of supply chain networks

• Demonstrate the facilities location for designing the supply chain network

• Evaluate the inventories for supply chains.

• Identify emerging concepts for supply chain networks.

Question paper pattern:

• The question paper will have ten full questions carrying equal marks.

• Each full question will be for 20 marks.

• There will be two full questions (with a maximum of four sub- questions) from each module.

• Each full question will have sub- question covering all the topics under a module.

• The students will have to answer five full questions, selecting one full question from each module.

Sl No Title of the Book Name of the

Author/s Name of the Publisher Edition and Year

Textbook/s

1 Supply Chain Management –

Strategy, Planning & Operation

Sunil Chopra &

Peter Meindl

Pearson Education Asia -

ISBN: 81-7808-272-1

2001.

2 Supply Chain Redesign –

Transforming Supply Chains

into Integrated Value Systems

Robert B

Handfield,

Ernest L

Pearson Education Inc -

ISBN: 81-297-0113-8

2002

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92

Reference Books

3 Supply Chain and Logistics

Management

Upendra

Kachuru

4 Modelling the Supply Chain Jeremy F

Shapiro,

Duxbury

Thomson Learning

ISBN 0-534-37363

2002.

5 Designing & Managing the

Supply Chain

David Simchi

Levi, Philip

Kaminsky&

Edith Simchi

McGraw Hill

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93

B. E. Industrial Engineering & Management

Choice Based Credit System (CBCS) and Outcome Based Education (OBE)

SEMESTER - VII

ENTERPRISE RESOURCE PLANNING LAB

Course Code 18IML77 CIE Marks 40

Number of Lecture Hours/Week (L:T:P) 0:2:2 SEE Marks 60

Credits 02 Exam Hours 03

Course Learning Objectives:

Experiments:

PART – A 1. Process of customer orders under seasonal / unseasonable and Blanket orders.

2. Generating Bill of Materials for Various Engineering Designs

3. Creating Item Master for various Engineering Designs

4. Conduction of vendor Evaluation exercise

5. Basic Statistical Analysis

6. Creating Purchase order for Items

7. Creating Work order for Items

8. Perform inventory transaction

PART – B 1. Creating quotation process for Items

2. Creating Dispatch Instruction for Items

3. Creating Payment reconciliation.

4. MRP - II Generating of Various reports for confirmed orders

5. Basic statistical analysis

6. Analyse of existing capacity and defining routes optimizing the resources along routes.

7. Optimization problems using OR packages (two exercises only).

8. Scheduling of activities

Suggested Software Packages

1. Statistical Packages : SYSTAT / MINITAB / SPSS and such others

2. ERP Packages: SIXTH SENSE / RAMCO / MAARSMAN / CIMAS / UNISOFT / OPTIMIIZER 10.6 and such

others.

3. Preactor – Scheduling Software OR Packages : Lindo / Lingo / STORM / such others

Course Outcomes:

• Use the modern software tools in ERP, Statistics and optimization.

• Demonstrate the use of appropriate software tools for decision making in business.

• Analyze and model the given scenario.

• Formulate the problems and solve it using the software tools.

From part A one question: 30 Marks

From part B one question: 50 Marks

Viva –Voice : 20 Marks

Total : 100 Marks

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94

B.E INDUSTRIAL ENGINEERING & MANAGEMENT

Outcome Based Education (OBE) and Choice Based Credit System (CBCS)

SEMESTER – VII(18IMP78)

INTERNSHIP All the students admitted to III year of BE/B.Tech shall have to undergo mandatory internship of 4 weeks during

the vacation of VI and VII semesters and /or VII and VIII semesters. A University examination shall be conducted

during VIII semester and the prescribed credit shall be included in VIII semester. Internship shall be considered as

a head of passing and shall be considered for the award of degree. Those, who do not take-up/complete the

internship shall be declared as fail and shall have to complete during subsequent University examinations after

satisfying the internship requirements.

Course Code Refer to VIII semester scheme CIE Marks 40

Duration of internship 04 weeks SEE Marks 60

Credit 02 Exam Hours/ Batch 03

Course Learning Objectives:

Internship/Professional practice provide students the opportunity of hands-on experience that include personal

training, time and stress management, interactive skills, presentations, budgeting, marketing, liability and risk

management, paperwork, equipment ordering, maintenance, responding to emergencies etc. The objective are

further,

• To put theory into practice.

• To expand thinking and broaden the knowledge and skills acquired through course work in the field.

• To relate to, interact with, and learn from current professionals in the field.

• To gain a greater understanding of the duties and responsibilities of a professional.

• To understand and adhere to professional standards in the field.

• To gain insight to professional communication including meetings, memos, reading, writing, public

speaking, research, client interaction, input of ideas, and confidentiality.

• To identify personal strengths and weaknesses.

Internship: Students under the guidance of internal guide/s and external guide shall take part in all the activities

regularly to acquire as much knowledge as possible without causing any inconvenience at the place of internship.

Seminar: Each student, is required to

• Present the seminar on the internship orally and/or through power point slides.

• Answer the queries and involve in debate/discussion.

• Submit the report duly certified by the external guide.

The participants shall take part in discussion to foster friendly and stimulating environment in which the students

are motivated to reach high standards and become self-confident. �

Course Outcomes: At the end of the course the student will be able to:

• Gain practical experience within industry in which the internship is done.

• Acquire knowledge of the industry in which the internship is done.

• Apply knowledge and skills learnt to classroom work.

• Develop a greater understanding about career options while more clearly defining personal career goals.

• Experience the activities and functions of professionals.

• Develop and refine oral and written communication skills.

• Identify areas for future knowledge and skill development.

• Expand intellectual capacity, credibility, judgment, intuition.

• Acquire the knowledge of administration, marketing, finance and economics. �

Continuous Internal Evaluation CIE marks for the Internship shall be awarded by the committee constituted for the purpose by the Head of the

Department. The committee shall consist of three faculties from the department with the senior most acting as the

Chairman.

The CIE marks awarded shall be based on the evaluation of Internship Report, Presentation skill and Question and

Answer session in the ratio 50:25:25.�

Semester End Examination

SEE marks for the Internship shall be awarded based on the evaluation of Internship Report, Presentation skill and

Question and Answer session in the ratio 50:25:25 by the examiners appointed by the University.�

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95

B. E. Industrial Engineering & Management

Choice Based Credit System (CBCS) and Outcome Based Education (OBE)

SEMESTER - VIII

SUPPLY CHAIN MANAGEMENT

Course Code 18IM81 CIE Marks 40

Teaching Hours/Week (L:T:P) (3:0:0) SEE Marks 60

Credits 03 Exam Hours 03

Course Learning Objectives:

6. Identify the different elements of a Strategic Framework and analyse supply chains.

7. Explain the elements in the design of supply chain networks.

8. Demonstrate the facilities location for designing the supply chain network

9. Determine the inventories for supply chains.

10. Recognize emerging concepts for supply chain networks

Module-1

BUILDING A STRATEGIC FRAME WORK TO ANALYSE SUPPLY CHAINS: Supply chain stages and

decision phase, process view of a supply chain. Supply chain flows. Examples of supply chains. Competitive and

supply chain strategies. Achieving strategic fit. Expanding strategic scope. Drivers of supply chain performance.

Framework for structuring drivers – Inventory, Transportation, Facilities, Information. Obstacles to achieving fit.

Module-2

DESIGNING THE SUPPLY CHAIN NETWORK: Distribution Networking – Role, Design. Supply Chain

Network (SCN) – Role, Factors, Framework for Design Decisions.

Module-3

FACILITY LOCATION AND NETWORK DESIGN: Models for facility location and capacity allocation.

Impact of uncertainty on SCN – discounted cash flow analysis, evaluating network design decisions using decision

trees. Analytical problems.

Module-4

PLANNING AND MANAGING INVENTORIES IN A SUPPLY CHAIN: Review of inventory concepts.,

Concepts of Safety Inventory, Concept of Aggregation of Inventory, Concept of product availability

Module-5

EMERGING CONCEPTS: Reverse Logistics, Reasons, Activities, Role. RFID Systems; Components,

applications, implementation. Lean supply chains, Implementation of Six Sigma in Supply Chains.

Course Outcomes: At the end of the course the student will be able to:

• Recall the elements involved in strategic frame work and analysis of supply chains.

• Demonstrate the elements involved in the design of supply chain networks

• Demonstrate the facilities location for designing the supply chain network

• Evaluate the inventories for supply chains.

• Identify emerging concepts for supply chain networks

Question paper pattern:

• The question paper will have ten full questions carrying equal marks.

• Each full question will be for 20 marks.

• There will be two full questions (with a maximum of four sub- questions) from each module.

• Each full question will have sub- question covering all the topics under a module.

• The students will have to answer five full questions, selecting one full question from each module.

Sl No Title of the Book Name of the

Author/s Name of the Publisher Edition and Year

Textbook/s

1 Supply Chain Management –

Strategy, Planning & Operation

Sunil Chopra &

Peter Meindl

Pearson Education Asia -

ISBN: 81-7808-272-1

2001.

2 Supply Chain Redesign –

Transforming Supply Chains

into Integrated Value Systems

Robert B

Handfield,

Ernest L

Pearson Education Inc -

ISBN: 81-297-0113-8

2002

Reference Books

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3 Supply Chain and Logistics

Management

Upendra

Kachuru

4 Modelling the Supply Chain Jeremy F

Shapiro,

Duxbury

Thomson Learning

ISBN 0-534-37363

2002.

5 Designing & Managing the

Supply Chain

David Simchi

Levi, Philip

Kaminsky&

Edith Simchi

Levi

McGraw Hill

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B. E. Industrial Engineering & Management

Choice Based Credit System (CBCS) and Outcome Based Education (OBE)

SEMESTER - VIII

AUTOMATION IN MANUFACTURING

Course Code 18IM821 CIE Marks 40

Number of Lecture Hours/Week (L:T:P) 3:0:0 SEE Marks 60

Credits 03 Exam Hours 03

Course Learning Objectives:

• To understand the concepts of automation in manufacturing systems

• To impart the knowledge of a line balancing and assembly systems

• To explore the idea of robotics and understand the computerized manufacturing planning

• To gain the knowledge of automated inspection and shop floor control

• To understand the concepts of additive manufacturing and latest trends in manufacturing

Module-1

Introduction: Production system facilities, Manufacturing support systems, Automation in production systems,

Automation principles &strategies Manufacturing Operations: Manufacturing operations, Product/production

relationship, Production concepts and Mathematical models &costs of manufacturing operations. Problems on

mathematical models

Module-2

Line Balancing: Methods of line balancing, Numerical problems on largest candidate rule, Kilbridge’s and

Wester’s method, and ranked positional weights method, computerized line balancing methods. Automated

Assembly System: Design for automated assembly, types of automated assembly system, Parts feeding devices,

Analysis of single and multi station assembly machines.

Module-3

Computerized Manufacture Planning and AGVS: Computer aided process planning (CAPP), Retrieval and

Generative systems, and benefits of CAPP. Material requirement planning, Inputs to MRP system, working of

MRP, Outputs and benefits. Automated Guided Vehicles System: Applications, Guidance and routing, Industrial

Robotics: Definition, Robot anatomy, Joints and links, Robot configurations, Robot control systems, Accuracy

and repeatability, End effectors, Sensors in robotics. Industrial robot applications: Material handling, Processing,

assembly and inspection.

Module-4

Inspection Technologies: Automated inspection, coordinate measuring machines construction, Operation

&programming, Software, application &benefits, Flexible inspection system, Inspection probes on machine

tools, Machine vision, Optical inspection techniques & Non-contact Non-optical inspection technologies. Shop

Floor Control and Automatic Identification Techniques: Shop floor control, Factory data collection system,

Automatic identification methods, Bar code technology, Automatic data collection systems. An Introduction to

QR Code Technology

Module-5

Additive Manufacturing Systems: Basic principles of additive manufacturing, Slicing CAD models for AM,

Advantages and limitations of AM technologies, Recent trends in manufacturing, Hybrid manufacturing.

Future of Automated Factory: Trends in manufacturing, the future automated factory, Human workers in future

automated factory, Social impact.

Course Outcomes: After studying this course, students will be able to

• Explain the basics of productions, automation system and manufacturing operations. Solve the simple

problems on mathematical model.

• Explain CAPP and MRP system and analyze the AGVS.

• Understand the inspection technologies and shop floor control.

• Explain the modern trends in additive manufacturing and automated factory.

Text Books:

1. Automation, Production Systems and Computer-Integrated Manufacturing, by Mikell P Groover, 3rd Edition,

2009, PHI Learning.

2. Automation, Production Systems and Computer-Integrated Manufacturing, by Mikell P Groover, 1999,

Prentice-Hall of India.

3. CAD / CAM Principles and Applications by P N Rao, 3rd Edition, 2015, Tata Mc Graw Hill.

4. Additive Manufacturing Technologies: Rapid Prototyping to Direct Digital Manufacturing, 2nd Ed. (2015),

Ian Gibson, David W. Rosen, Brent Stucker

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5. “Understanding Additive Manufacturing”, Andreas Gebhardt, Hanser Publishers, 2011

Reference Books:

1. Systems Approach to Computer-Integrated Design and Manufacturing by Dr. Nanua Singh,Wiley, 1996.

2. CAD/CAM/CIM P. Radhakrishnan, S. Subramanyan, U. Raju, New Age International Publication Revised

Third Edition 2007.

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B. E. Industrial Engineering & Management

Choice Based Credit System (CBCS) and Outcome Based Education (OBE)

SEMESTER - VIII

LEAN MANUFACTURING

Course Code 18IM822 CIE Marks 40

Number of Lecture Hours/Week (L:T:P) 3:0:0 SEE Marks 60

Credits 03 Exam Hours 03

Course Learning Objectives:

1. To enable students to design a globally competitive manufacturing organization using lean manufacturing

principles;

2. To develop the skills to implement lean manufacturing in industry and manage the change process to achieve

continuous improvement of efficiency and productivity.

Module-1

Framework of Toyota Production System: Just in time production system. JIT Logic -Pull system Japanese

approach to production elimination of waste - JIT implementation requirements JIT application for job shops, Case

studies.

Adaptable Kanban System: Kanban rules, supplier Kanban and sequence schedule used by supplier, Monthly

information & daily information.

Text Book 1 : Chapter 1- Chapter 2

Additional Interests: Prepare Kanban Chart for a manufacturing plant

Module-2

The rise of mass production: The rise & fall of Mass Production Mass production, work force, organization,

tools, product –logical limits of Mass production, Sloan as a necessary compliment to Ford. Case study:- Rouge

Production Plant.

The rise of lean production: - Birth place, concrete example, company as community, Final assembly plant,

product development and engineering

Text Book 2 : Chapter 2

Additional Interests: List out Lean Management Concepts. And Frame Work of Lean Manufacturing

Module-3

Reduction of setup times- Concepts and Techniques: Setup Concepts, practical procedures for reducing setup

time.

Standardization of operations: Machine layout, multi-function workers and job rotation. Improvement activities

to reduce work force and increase worker morale -foundation for improvements

Text Book 1 : Chapter 8, Chapter 9, Chapter 10, Chapter 11, Chapter 12

Additional Interests: Use any lean Six Sigma Statistical Analysis tool and learn to analyze data using 7QC tools.

Module-4

House of Lean -5S's and Waste Walks, Visual Management, Value Stream Mapping-Understanding the current

state and designing the future state

Managing lean enterprise: - Finance, Career ladders, geographic spread and advantages of global enterprise.

Additional Interests: Develop VSM Current and Future state diagram using Microsoft Visio or Similar Software

Package.

Module-5

Six sigma concepts: History, definitions, Statistical definitions, quality levels, Technical aspects, Six sigma for

all: benefits to organizations, customers, suppliers and employers, Design for Six Sigma, DMAIC principles,

DMADV principles, merits and demerits.

Text Book 5 Additional Interests: Suggested to read The Certified Six Sigma Green Belt Handbookby Roderick A. Munro and

Govindarajan Ramu (ISBN-10: 0873898915)

Course Outcomes: • Identify how a production line can be run efficiently

• Reflect upon the critical skills and evaluate their own performance

• Relate concepts such as ‘Just in Time manufacturing’ and ‘Lean manufacturing to the context of an assembly

line.

Text Books:

1: Toyota Production System -An integrated approach to Just in Time - Yasuhiro Monden, - Engineering aild

Management Press -Institute of Industrial Engineers – 1983.

2: James P Womack, Daniel T Jones, and Daniel Roos, “The Machine that changed the World. The Story of Lean

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100

Production –Harper Perennial edition published 1991.

3: Gemba Kaizen: A Commonsense Approach to a Continuous Improvement Strategy, Second Edition Hardcover

– 2012by Masaaki Imai

4 :Value Stream Mapping : How to Visualize Work and Align Leadership for Organizational Transformation

Paperback – 2016 by Karen Martin , Mike Osterling

5: Lean And Six Sigma - Six Sigma Black Belt (2007 BOK): Enterprise-Wide Deployment Paper Back by

Suvabrata Mitra

Reference Books:

Learning to See: Value Stream Mapping to Add Value and Eliminate MUDA 1st Editionby Mike Rother and John

Shook

Getting the Right Things Done: A Leader's Guide to Planning and Execution by Dennis, Pascal (January 1, 2006)

by Pascal Dennis

The Toyota Way: 14 Management Principles from the World's Greatest Manufacturer by Jeffrey K. Liker

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101

B. E. Industrial Engineering & Management

Choice Based Credit System (CBCS) and Outcome Based Education (OBE)

SEMESTER - VIII

TOTAL QUALITY MANAGEMENT

Course Code 18IM823 CIE Marks 40

Number of Lecture Hours/Week (L:T:P) 03 SEE Marks 60

Credits 03 Exam Hours 03

Course Learning Objectives:

• Develop an understanding on the necessary information and skills needed to manage, control and improve

quality practices in the organizations through TQM philosophy.

• Explain the four revolutions in management thought processes.

• Apply the reactive and proactive improvement methodologies for problem solving in organizations.

• Demonstrate the importance of team work in problem solving processes.

• Define the business excellence models implemented in various organizations.

Module-1

OVERVIEW OF TOTAL QUALITY MANAGEMENT: History of TQM. Axioms of TQM,

contributions of Quality Gurus – Deming’s approach, Juran, quality trilogy, Crosby and quality treatment, Imai’s

Kaizen, Ishikawa; companywide quality control and Fegenbaum theory of TQC, QFD.

Module-2

EVOLUTION OF QUALITY CONCEPTS AND METHODS: Quality concepts. Development of four fitness’s,

evolution of methodology, evolution of company integration, quality of conformance versus quality of design from

deviations to weaknesses to opportunities. Future fitness’

FOUR REVOLUTIONS in management thinking and four levels of practice

Module-3

Focus on customers: Change in work concept, market-in, and customers.

Continuous Improvement: Improvement as problem solving process: Management by process, WV model of

continuous improvement.

Reactive Improvement: Identifying the problem, standard steps, seven steps case study, and General guidelines for

managers diagnosing a QI story.

Proactive Improvement: Introduction to proactive improvement, standard steps for proactive improvement, semantics,

example-customer visitation, Seven Management and Planning Tools.

Module-4

Total Participation; Teamwork skill, Dual function of work, teams and teamwork, principles for activating teamwork,

creativity in team processes, Initiation strategies, CEO involvement. Strategies for TQM introduction. Infrastructure for

mobilization. Phase-in.

Hoshin Management: Definition, Concepts, Phases in Hoshin Management – overview.

Societal Networking: Networking and societal diffusion, infrastructure for networking. TQM as learning system, a

TQM model for skill development.

Module-5

Introduction to Six Sigma: Benefits, fundamentals, Assessing readiness for Six Sigma, five key players, Planning for

the Six Sigma initiative. Case discussions.

Metrics for Six Sigma: The critical-to-quality concept, criteria to metrics, universal standard, baselines,

benchmarking, guidelines for metrics.

Design for Six Sigma: Overview of DFSS, DMADV Method.

Course Outcome:

• Develop the understanding on TQM concepts.

• Make use of quality concepts and four levels of practices to solve the quality related issues

• Recommend appropriate revolutions in management thinking for continuous improvement

• Design and implement TQM & Six Sigma projects in organizational situations.

TEXT BOOKS:

1. A New American TQM Four Practical Revolutions in Management - Shoji Shiba, Alan Graham and David

Walden – Prod uctivity Press, Portlans (USA) -1993. 2. Management for Total Quality - N Logothetis- Prentice Hall of India, New Delhi - 1994.(1

stChapter)

3. Greg Brue and Rod Howes, Six Sigma, TATA McGraw-Hill Edition 2006, ISBN: 0-07-063468-8

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102

REFERENCE BOOK:

1. The Quality Improvement Hand Book -Roger C Swanson - Publisher Vanity Books International, New

Delhi - 1995.

2. Total Quality Management - Kesavan R - I K International Publishing house Pvt. Ltd – 2008.

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103

B. E. Industrial Engineering & Management

Choice Based Credit System (CBCS) and Outcome Based Education (OBE)

SEMESTER - VIII

FINANCIAL MANAGEMENT

Course Code 18IM824 CIE Marks 40

Number of Lecture Hours/Week (L:T:P) 3:0:0 SEE Marks 60

Credits 03 Exam Hours 03

Course Learning Objectives:

1. To provide the concepts and foundations of managing finance in business enterprises.

2. To equip students with tools and techniques for managing finance.

3. To orient students regarding financial management practices in Indian companies and Global enterprises.

Module-1

Introduction: Evolution of Financial Management, Goals, Forms of Business. Risk and Required Return: Risk

and return relationship, Business risk, financial risk, and risk in portfolio context, expected rate of return, Capital

asset pricing model. Capital Budgeting: Risk analysis in Capital Budgeting, Cost of Capital – Debt, Preference

Equity forms of capital.

Module-2

Capital Structure and Firm Value: Assumption, Definition and approaches, Modigliani and Miller Mode,

Capital Structure decisions – EBIT, EPS analysis, ROI, REI analysis and Cash Flow comparative Analysis.

Working Capital Management: Factors influencing working capital requirement, determination of operating cycle

and working capital.

Module-3

Long Term Financing: Raising of finance form primary and secondary markets, Valuation of securities, features

of convertibility securities and warrants, SEBI guide lines on capital issues, stock market in India, Venture capital,

Initial Public Offering. Merger Acquisition and Restructuring: Reasons, Mechanics, Cost and benefits of a merger,

Evolution, terms and purchase of a division, Takeovers, Acquisitions, Portfolio and financial.

Module-4

Securities and Portfolio Analysis: Derivatives, Futures Trading, Financial Statement Analysis: Ratio analysis,

time series analysis, Du pont analysis, funds flow analysis.

Module-5

International Financial Management: World Monitoring system, Foreign Exchange Markets, International

Parity Relationships, International Capital budgeting, Financing Foreign Operations, Raising Foreign Currency

Finance, Financing Exports, Documents in International Trade. Financial Management in Sick Units: Definition of

sickness, Causes of sickness, Symptoms of sickness, Prediction of sickness, Revival of a sick unit.

Course Outcomes:

1. Apply the risk analysis in capital budgeting

2. Analyze the various capital structure decisions of the firm

3. Analyze the security and Portfolio of the firm.

4. Understand the international management and able to explain the financial risk at global level.

Text Books:

1. Financial Management Theory and practice – Prasanna Chandra – TMH – ISBN– 007-044501-X, 5th edn.

2. Financial accounting – B.S. Raman – United publication – VoI II

Reference Books:

1. Financial Management Text & Problems – Khan & Jain – TMH – ISBN 0—07-460208-X.

2. Financial management – IM Pandey – Vikas Pub. House – ISBN 0- 7069-5435-1.

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104

B. E. Industrial Engineering & Management

Choice Based Credit System (CBCS) and Outcome Based Education (OBE)

SEMESTER - VIII

PROJECT WORK PHASE -II

Course Code 18IMP83 CIE Marks 40

Contact Hours/Week 02 SEE Marks 60

Credits 08 Exam Hours/Batch 03

Course Learning Objectives:

• To support independent learning and innovative attitude

• To guide to select and utilize adequate information from varied resources maintaining ethics.

• To guide to organize the work in the appropriate manner and present information (acknowledging the

sources) clearly.

• To develop interactive, communication, organisation, time management, and presentation skills.

• To impart flexibility and adaptability.

• To inspire independent and team working.

• To expand intellectual capacity, credibility, judgement, intuition.

• To adhere to punctuality, setting and meeting deadlines.

• To instil responsibilities to oneself and others.

• To train students to present the topic of project work in a seminar without any fear, face audience

confidently, enhance communication skill, involve in group discussion to present and exchange ideas. �

Project Work Phase - II: Each student of the project batch shall involve in carrying out the project work jointly in

constant consultation with internal guide, co-guide, and external guide and prepare the project report as per the

norms avoiding plagiarism.

Course Outcomes: At the end of the course the student will be able to:

• Present the project and be able to defend it.

• Make links across different areas of knowledge and to generate, develop and evaluate ideas and information

so as to apply these skills to the project task.

• Habituated to critical thinking and use problem solving skills

• Communicate effectively and to present ideas clearly and coherently in both the written and oral forms.

• Work in a team to achieve common goal.

• Learn on their own, reflect on their learning and take appropriate actions to improve it. �

CIE procedure for Project Work Phase - 2: (i)Single discipline: The CIE marks shall be awarded by a committee consisting of the Head of the concerned

Department and two senior faculty members of the Department, one of whom shall be the Guide.

The CIE marks awarded for the project work phase -2, shall be based on the evaluation of project work phase -2

Report, project presentation skill and question and answer session in the ratio 50:25:25.The marks awarded for the

project report shall be the same for all the batch mates.

(ii) Interdisciplinary: Continuous Internal Evaluation shall be group wise at the college level with the participation

of all guides of the college. Participation of external guide/s, if any, is desirable.

The CIE marks awarded for the project work phase -2, shall be based on the evaluation of project work phase -2

Report, project presentation skill and question and answer session in the ratio 50:25:25.The marks awarded for the

project report shall be the same for all the batch mates.�

Semester End Examination SEE marks for the project (60 marks) shall be awarded (based on the quality of report and presentation skill,

participation in the question and answer session) as per the University norms by the examiners appointed VTU.∎

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105

B. E. Industrial Engineering & Management

Choice Based Credit System (CBCS) and Outcome Based Education (OBE)

SEMESTER - VIII

TECHNICAL SEMINAR

Course Code 18IMS84 CIE Marks 100

Contact Hours/Week 02 SEE Marks --

Credits 01 Exam Hours --

Course Learning Objectives:

The objective of the seminar is to inculcate self-learning, face audience confidently, enhance communication skill,

involve in group discussion and present and exchange ideas.

Each student, under the guidance of a Faculty, shall choose, preferably, a recent topic of his/her interest relevant to

the Course of Specialization.

• Carryout literature survey, organize the seminar content in a systematic manner.

• Prepare the report with own sentences, avoiding cut and paste act.

• Type the matter to acquaint with the use of Micro-soft equation and drawing tools or any such facilities.

• Present the seminar topic orally and/or through power point slides.

• Answer the queries and involve in debate/discussion.

• Submit typed report with a list of references.

The participants shall take part in discussion to foster friendly and stimulating environment in which the students are

motivated to reach high standards and become self-confident. �

Course Outcomes:

At the end of the course the student will be able to:

• Attain, use and develop knowledge in the field of engineering and other disciplines through

independent learning and collaborative study.

• Identify, understand and discuss current, real-time issues.

• Improve oral and written communication skills.

• Explore an appreciation of the self in relation to its larger diverse social and academic contexts.

• Apply principles of ethics and respect in interaction with others.�

Graduate Attributes (As per NBA): Engineering Knowledge, Problem Analysis, Design / development of solutions, Conduct investigations of complex

Problems, Modern Tool Usage, Engineers and society, Environment and sustainability, Ethics, Individual and Team

work, Communication.

Evaluation Procedure:

The CIE marks for the seminar shall be awarded (based on the relevance of the topic, presentation skill, participation

in the question and answer session and quality of report) by the committee constituted for the purpose by the Head of

the Department. The committee shall consist of three teachers from the department with the senior most acting as the

Chairman.

Marks distribution for CIE of the course:

Seminar Report:50 marks

Presentation skill:25 marks

Question and Answer: 25 marks.�